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Job Description Position: Data Specialist Location: Dallas, Texas (USAO Office) Clearance: Public Trust Job Overview: Provide consulting services to litigation teams in the areas of early case assessment; electronically stored information ("ESI") collection; ESI processing; review and analysis of ESI; production of ESI and other documents. Provide advice to litigation teams on the use of the USAO's Technology Assisted Review (aka TAR) tools and compliance with discovery obligations, litigation decisions, trial preparation, and trial presentation. Perform a wide range of analysis and processing of electronically stored information (ESI) in support of district litigation activities. • Responsible for hands-on file manipulation, loading, and conversion services., • Assists with the Coordination and collaboration with client agencies to ensure they collect, review, preserve, and provide to the investigative team ESI which may be used in an investigation or disclosed in discovery., • Organizes documents for efficient automated storage and retrieval by ensuring that ESI obtained from agencies, defendants, and third parties in discovery is properly prepared, processed, and loaded into discovery databases using specialized procedures and appropriate eDiscovery software., • Reviews ESI obtained in discovery for data integrity, completeness and completion, identifying and implementing corrective action., • Ensures that ESI is properly gathered, reviewed and prepared for disclosure to opposing parties in discovery., • Assist the LTU with the analyzation of documents, data management and litigation support requirements to recommend appropriate strategies to meet discovery obligations and litigation needs in conjunction with the case team., • Organize case information for efficient retrieval through automated means such as scanning, indexing, and controlling of documents/data into a database., • Utilize a variety of eDiscovery and Automated Legal Support software in the collection, analysis, review and production of electronically stored information, including: NUIX, Cloud Nine Law PreDiscovery, IPRO eScanlt and Eclipse SE, LexisNexis CaseMap, TimeMap, Relativity, and similar software for the collection, analysis, processing, review, and production of eDiscovery materials., • Assists the LTU along with case team on the setup and training of IPRO Trial Director and similar software for evidence presentation at trials, hearings, mediation sessions, and other formal presentation settings., • Create, convert, organize and extract information provided from a variety of sources, • Creating a searchable PDF portfolio using Adobe software from a large volume of paper or native files provided in discovery; Inputting and organizing paper or electronic files provided in discovery into Relativity, Eclipse SE, CaseMap or other litigation support software based on the needs of the case;, • Inputting native email files (with metadata) into an appropriate eDiscovery program, duplicating these files, and extracting relevant information from the databases to which the email files are loaded;, • Transferring ESI from one eDiscovery program to another;, • Assists case teams with the creation of hosted web sites for e-Discovery review and, • Creation of logs, reports or summaries using the software used in the collection, analysis, review and production of eDiscovery materials (e.g., Relativity, Eclipse SE, CaseMap, TimeMap, and similar software)., • Conduct document searches using advanced artificial intelligence tools. Required Qualifications • Bachelor's degree., • Three years of additional, directly relevant work experience (over and above the minimum experience requirements for this position) may be substituted for the bachelor's degree., • 3+ years of experience in a litigation support, electronic discovery, and/or technology support environment, preferably within the Government, but a law firm or top eDiscovery vendor is also acceptable. Experience with eDiscovery technical experience in compiling, analyzing, and synthesizing information to support project task requirements., • Knowledge of information resources and file types., • Excellent analytical capabilities., • Excellent written and oral communication skills., • Ability to consistently deliver the highest quality work under extreme pressure and tight deadlines., • Experience in managing multiple tasks such as those defined in the Duties & Responsibilitiesabove must be demonstrated., • An understanding of the litigation lifecycle and electronic discovery/document review processes, procedures and practices is required., • Experience performing Administrator and Case Manager functions in Relativity., • Experience with providing end-user support on all Litigation Support applications, including but not limited to assisting with end-user training., • Experience with Relativity, Nuix, Concordance, IPRO Eclipse, Cloud Nine Law, Beyond Compare and other applicable eDiscovery software platforms., • Must be a US Citizen., • Must be able to obtain a favorably adjudicated Public Trust Clearance.

Job Description Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, we are solving problems that eventually impact the lives of millions globally. Our culture is modeled around expertise and respect with a team-first mindset. Headquartered in Silicon Valley, you’ll find our delivery centers across the globe and offices in multiple cities across India, the US, UK, Canada, and Singapore, including a substantial remote global workforce. We’re Great Place to Work-Certified™. Working at Tiger Analytics, you’ll be at the heart of an AI revolution. You’ll work with teams that push the boundaries of what is possible and build solutions that energize and inspire. Requirements Curious about the role? What your typical day would look like? As a Principal Data Engineer (Azure), you would have hands on experience working on Azure as cloud, Databricks and some exposure/experience on Data Modelling. You will build and learn about a variety of analytics solutions & platforms, data lakes, modern data platforms, data fabric solutions, etc. using different Open Source, Big Data, and Cloud technologies on Microsoft Azure. ● Design and build scalable & metadata-driven data ingestion pipelines (For Batch and Streaming Datasets) ● Conceptualize and execute high-performance data processing for structured and unstructured data, and data harmonization ● Schedule, orchestrate, and validate pipelines ● Design exception handling and log monitoring for debugging ● Ideate with your peers to make tech stack and tools-related decisions ● Interact and collaborate with multiple teams (Consulting/Data Science & App Dev) and various stakeholders to meet deadlines, to bring Analytical Solutions to life. What do we expect? ● Experience in implementing Data Lake with technologies like Azure Data Factory (ADF), PySpark, Databricks, ADLS, Azure SQL Database ● A comprehensive foundation with working knowledge of Azure Synapse Analytics, Event Hub & Streaming Analytics, Cosmos DB, and Purview ● A passion for writing high-quality code and the code should be modular, scalable, and free of bugs (debugging skills in SQL, Python, or Scala/Java). ● Enthuse to collaborate with various stakeholders across the organization and take complete ownership of deliverables. ● Experience in using big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, Elastic Search ● Adept understanding of different file formats like Delta Lake, Avro, Parquet, JSON, and CSV ● Good knowledge of building and designing REST APIs with real-time experience working on Data Lake or Lakehouse projects. ● Experience in supporting BI and Data Science teams in consuming the data in a secure and governed manner ● Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) are valuable addition. Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry. Job Requirement • Mandatory: Azure Data Factory (ADF), PySpark, Databricks, ADLS, Azure SQL Database, • Optional: Azure Synapse Analytics, Event Hub & Streaming Analytics, Cosmos DB and Purview., • Strong programming, unit testing & debugging skills in SQL, Python or Scala/Java., • Good Understanding of different file formats like Delta Lake, Avro, Parquet, JSON and CSV., • Experience of working in Agile projects and following DevOps processes with technologies like Git, Jenkins & Azure DevOps., • Good to have:, • Experience of working on Data Lake & Lakehouse projects, • Experience of building REST services and implementing service-oriented architectures., • Experience of supporting BI and Data Science teams in consuming the data in a secure and governed manner. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Job DescriptionAbout Lantern Lantern is the specialty care platform connecting people with the best care when they need it most. By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer care, infusions and more, Lantern delivers excellent care with significant cost savings to employers and their workforces. Lantern also pairs members with a dedicated care team, including Care Advocates and nurses, for the entirety of their care journey, helping them get back to good health, back to their families and back to work. With convenient access to specialists nationwide, Lantern means quality care is within driving distance for most. Lantern is trusted by the nation's largest employers to deliver care to more than 6 million members across the country. Learn more about us at lanterncare.com. About You: • You use LOGIC in your decision making and understand that progress is critical to making change. You focus on the execution of your content while balancing a fast-paced environment and you take the time to celebrate both the small & big wins., • INCLUSION is a core tenant of your personal beliefs. A diverse and inclusive environment is incredibly important to you. You understand and desire to be a part of a diverse team with different experiences and perspectives & you cherish the differences in each individual that you interact with., • You have the GRIT, drive and ambition to tackle big problems. Big problems require big ideas and a team that supports new ideas., • You care deeply for your customers are driven to keep HUMANITY in all decisions. Your customers aren't just the individuals using your product. They are the driving factor in your motivation to make a change., • Integrity guides you in life. Focusing on the TRUTH vs. giving people the answers they want to hear. If this sounds like you, we would love to connect to speak further about career opportunities at Lantern. Please apply to our role & someone from our Talent Acquisition Team will reach out to help you navigate our interview process. JOB OVERVIEW The Data Governance Manager is a crucial role for Lantern as this person will as in the shaping the strategic direction and execution of the organization's data initiatives. This person will lead efforts to establish and maintain robust data governance frameworks, consult and assist in the management of data products, and act as change agent to maximize the value of our data assets. In this role, you will collaborate with various teams and functions across the enterprise as well as external stakeholders to drive operational excellence and maturation of data operations. Location: USA, Dallas preferred, remote permissible Responsibilities: For a successful candidate for this position, you must - • Collaborate with business partners to identify & solve business problems, • Lead meetings, able to influence and consult both internal and external business partners as it relates to analytics, • Leverage analysis skills to discern, unlock, and communicate insights out to decision makers at all levels of the business, • Be comfortable with researching data questions, identify root causes, and interact closely with business users and technical resources on various data related decisions, • Design and implement data governance structures, including data stewardship programs, data quality frameworks, and metadata management processes, • Ideate the improvement of data governance related policies, procedures, and standards and then drive adoption, guidance and training to the same, • Ideate and project manage the improvement of the enterprise's data quality using process, tooling, and suggested modifications to existing frameworks and applications, • Utilize appropriate metrics and KPIs to measure the efficacy of data governance programs & overall health of enterprise data, • Bachelor's degree in related field preferred. Equivalent combination of education and experience may be substituted in lieu of degree. A master's degree in engineering or related field a plus., • 7+ years in a leadership role with track record of translating business requirements into technical solutions, engaging and influencing stakeholders at all levels, and building and leading high performing teams, • 5+ years of demonstratable experience implementing and improving data management, data governance, and data security practices. Industry recognized data management certification preferred., • 5+ years of data engineering or data analysis experience using common ETL tooling and use of languages such as SQL, Python, R, and Excel, • 3+ years of management experience of building and leading data engineers, business analysts and/or data operation engineers. Candidate should also have experience with road mapping; headcount and capacity planning; talent acquisition; and career development, • 2+ years of Azure, specifically Azure's data platform offerings, • 2+ years of experience in data warehouse; preferably with Databricks and other Lake House platforms, • 4+ years of experience with Big Data technologies including Spark/Databricks, Hadoop, and varying types of Azure Storage, • 2+ years of experience in the healthcare space is preferred, • Good understanding of business functions such as Sales, Marketing, Finance, Customer success, etc., • Demonstrate strong organization skills and detail-oriented, • Ability to self-motivate and meet deadlines, • Intense desire to learn, • Ability to express complex technical concepts effectively, both verbally and in writing, • Ability to multi-task in a fast-paced, changing environment, • Have experience with running Data Governance & Data Management functions within the healthcare industry, and demonstrate the ability to learn new business models and technologies, • Have relevant Data Governance certification, • Medical Insurance, • Dental Insurance, • Vision Insurance, • Short- & Long-Term Disability, • Life Insurance, • 401k with company match, • Paid Time Off

Job Description Azure Network engineer Location: Dallas, TX – Locals preferred - onsite Duration: Long Term Contract F2F Interview Job Description: should be taking care of both Azure and on-prem network management, (Dallas based) • Configure and manage virtual networks in Azure., • Implement network security and access controls in Azure and on prem., • Optimize network performance to troubleshoot network issues., • Integrate on-premises networks with Azure., • Azure networking: IP + Metadata + Configuration Management, • Network management tooling, • Network Alerting to configuration management, • Firewall mgmt., • Troubleshooting the network issues, • Palo Alto Experience required

Job DescriptionCMB Regional Centers (CMB) and NHK Capital Partners (NHK) are thriving global investment companies seeking a full-time Performance Marketing Manager. The Performance Marketing Manager will be responsible for lead generation through a full-funnel strategy that spans paid media, organic search, generative engine optimization (GEO), analytics, analog channels, and website performance. This role blends creative thinking with analytical rigor and requires expertise in both traditional paid channels (Meta, Google Ads, programmatic) and emerging platforms such as generative search interfaces (ChatGPT, Perplexity, Gemini, etc.) This individual will oversee day-to-day campaign execution and optimization and performance reporting while collaborating closely with the broader marketing team, investor relations and support teams, and senior leadership to ensure alignment with CMB Regional Centers and NHK Capital Partners brand and marketing goals. This role requires you to work onsite Monday through Friday from 8:00am - 5:00pm at our Dallas, TX office. Essential Job Functions Digital Advertising & SEM • Develop and manage paid search (Google Ads, Bing) and display campaigns for lead generation and retargeting., • Conduct A/B testing and optimize ad creative and landing pages for maximum return on investment., • Manage budgets, pacing, and reporting across all paid channels.Generative Engine Optimization (GEO), • Collaborate with broader marketing team to ensure content and project information is structured and surfaced effectively in generative search results., • Stay current on best practices for searching in platforms like ChatGPT, Gemini, Perplexity, and other AI-powered engines., • Ensure schema, metadata, and structured content align with generative search best practices.Campaign Execution and Intake, • Own the marketing request/brief intake process, including documentation and project setup in tracking tool., • Maintain campaign schedules, organize timelines/milestone checkpoints, and run daily team status call., • Coordinate across content and creative teams to ensure on-time delivery and readiness for deployment.Website, • Partner with broader marketing team and third-party developers to test and optimize page layouts, load times, and UX., • Monitor site analytics to identify opportunities for increased engagement and conversion.Channel Management & Audience Strategy, • Build and manage audience segmentation across CRM (custom-built, proprietary) and email distribution platform (Constant Contact)., • Oversee channel readiness and message deployment across email, web, and all outbound communications., • Develop list logic, tagging strategies, and CRM workflows to support investor lifecycle marketing, • Support the development of basic attribution models that connect marketing touchpoints to investor activity and conversions., • Partner with investor relations to improve visibility into lead origination, campaign touchpoints, and conversion pipelines, and to map marketing influence throughout investor journey.Performance Tracking & Optimization, • Develop and maintain dashboards and executive-level reports for campaign performance, engagement, and conversion., • Track email metrics, site traffic, lead activity, and social performance in coordination with the broader team, • Analyze campaign outcomes and synthesize actionable insights from the data at marketing-team- and executive-level altitudes., • Generate and present monthly campaign and channel performance reports with actionable recommendations, helping shape budget allocations and to inform strategic planning.Tools, Systems & Processes, • Maintain operational backbone of the marketing team, including the project tracking tool (Monday), CRM campaign workflows, and email platform structure., • Proven expertise managing SEM and paid social., • Experiencing managing CRM data, list segmentation, and multi-channel campaign delivery., • Strong knowledge of SEO/SEM best practices and emerging trends in generative search., • Understanding of basic attribution concepts and ability to apply them to investor lifecycle marketing., • Proficiency in Google Ads, Google Analytics, Google Tag Manager, and Meta Ads Manager., • Highly organized, self-starter with the ability to translate data into actionable insights to inform strategy optimization., • Collaborative and comfortable operating in a highly visible leadership role within a cross-functional, multi-brand marketing team., • Bachelor's Degree Preferred., • 5-7 years working in a marketing operations, campaign execution or digital marketing capacity., • Proficiency in Google Ads, Google Analytics, Google Tag Manager, and Meta Ads Manager., • Familiarity with EB-5, investor marketing, private equity, or real estate finance., • Experience utilizing proprietary CRMs., • Working knowledge of HTML/CSS, schema markup, and SEO plug-ins, • Experience with email marketing platforms (MailChimp, Constant Contact, Campaign Monitor, or similar), CMS platforms (WordPress), and custom CRM environments. 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Job Description Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, we are solving problems that eventually impact the lives of millions globally. Our culture is modeled around expertise and respect with a team-first mindset. Headquartered in Silicon Valley, you’ll find our delivery centers across the globe and offices in multiple cities across India, the US, UK, Canada, and Singapore, including a substantial remote global workforce. We’re Great Place to Work-Certified™. Working at Tiger Analytics, you’ll be at the heart of an AI revolution. You’ll work with teams that push the boundaries of what is possible and build solutions that energize and inspire. Requirements Curious about the role? What your typical day would look like? As a Principal Data Engineer (Azure), you would have hands on experience working on Azure as cloud, Databricks and some exposure/experience on Data Modelling. You will build and learn about a variety of analytics solutions & platforms, data lakes, modern data platforms, data fabric solutions, etc. using different Open Source, Big Data, and Cloud technologies on Microsoft Azure. ● Design and build scalable & metadata-driven data ingestion pipelines (For Batch and Streaming Datasets) ● Conceptualize and execute high-performance data processing for structured and unstructured data, and data harmonization ● Schedule, orchestrate, and validate pipelines ● Design exception handling and log monitoring for debugging ● Ideate with your peers to make tech stack and tools-related decisions ● Interact and collaborate with multiple teams (Consulting/Data Science & App Dev) and various stakeholders to meet deadlines, to bring Analytical Solutions to life. What do we expect? ● Experience in implementing Data Lake with technologies like Azure Data Factory (ADF), PySpark, Databricks, ADLS, Azure SQL Database ● A comprehensive foundation with working knowledge of Azure Synapse Analytics, Event Hub & Streaming Analytics, Cosmos DB, and Purview ● A passion for writing high-quality code and the code should be modular, scalable, and free of bugs (debugging skills in SQL, Python, or Scala/Java). ● Enthuse to collaborate with various stakeholders across the organization and take complete ownership of deliverables. ● Experience in using big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, Elastic Search ● Adept understanding of different file formats like Delta Lake, Avro, Parquet, JSON, and CSV ● Good knowledge of building and designing REST APIs with real-time experience working on Data Lake or Lakehouse projects. ● Experience in supporting BI and Data Science teams in consuming the data in a secure and governed manner ● Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) are valuable addition. Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry. Job Requirement • Mandatory: Azure Data Factory (ADF), PySpark, Databricks, ADLS, Azure SQL Database, • Optional: Azure Synapse Analytics, Event Hub & Streaming Analytics, Cosmos DB and Purview., • Strong programming, unit testing & debugging skills in SQL, Python or Scala/Java., • Good Understanding of different file formats like Delta Lake, Avro, Parquet, JSON and CSV., • Experience of working in Agile projects and following DevOps processes with technologies like Git, Jenkins & Azure DevOps., • Good to have:, • Experience of working on Data Lake & Lakehouse projects, • Experience of building REST services and implementing service-oriented architectures., • Experience of supporting BI and Data Science teams in consuming the data in a secure and governed manner. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Job Description Job Summary Join our Data Governance and Quality team as a Data Engineering and Governance Specialist, blending data analysis and strong data engineering experience to ensure high-quality, reliable healthcare financial data. You’ll drive data quality, enhance governance frameworks, and build solutions that provide critical insights into HaloMD’s operational and financial performance. Essential Job Duties and Responsibilities • Be adaptable and effective in a fast-moving startup operating model that differs from more structured established, rigid company platforms. We are seeking self-empowered, self-reliant solution seekers., • Investigate and resolve data quality issues, implementing proactive solutions to ensure data integrity across pipelines and reports., • Gain deep knowledge of healthcare financial data and business rules to support analytics and reporting needs., • Collaborate with stakeholders to gather requirements and automate data validation processes for real-time alerting and enforcement., • Design and maintain data governance reporting and monitoring tools to track quality metrics and trends., • Design and build scripts and procedures to enhance existing or build net new solutions to benefit demands from reporting, leadership team, or stakeholders., • Work closely with developers and analysts to optimize data workflows and streamline processes., • Develop and enforce data governance policies, focusing on data quality, metadata management, and compliance with privacy regulations (e.g., HIPAA)., • Document data governance processes, definitions, and metrics, ensuring accessibility and clarity for cross-functional teams., • Follow best practices for development, QA, deployment, and source code management (e.g., GitHub)., • Embrace agile methodologies, tracking progress using tools like Atlassian Jira or Azure DevOps., • Build strong relationships with business and IT teams, both onshore and offshore, to align on goals and deliverables. Education and/or Experience • Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field, • Advanced experience in SQL (e.g., CTEs, joins, text parsing) and experience building database objects (tables, stored procedures, views, Snowflake worksheets/notebooks), • 2+ years of experience in data governance, data steward, data quality, or a related role, • 4+ years as a data analyst or data engineer, with strong analytical and problem-solving skills, • Ability to quickly understand complex data relationships and derive actionable insights, • Proven track record of meeting deadlines and communicating progress effectively, • Strong collaboration and communication skills to work with technical and non-technical stakeholders, • Excellent organizational and time management skillsPreferred Qualifications, • Strong working experience with healthcare or financial data (e.g., claims, reimbursements), • Consulting experience, especially within Healthcare industry is a strong plus, • Experience with Snowflake cloud data platforms, • Hands-on experience documenting data governance policies in tools like Atlassian Confluence or Notion., • 1+ years of experience building reports and dashboards in Power BI, Tableau, Grafana, or similar tools, • Knowledge of ELT tools (e.g., DBT) and orchestration platforms (e.g., Airflow, Dagster)Why Join HaloMD?, • Impact healthcare by ensuring data-driven decisions that optimize provider reimbursements., • Work with modern data tools and cloud technologies in a collaborative, agile environment., • Remote & Hybrid opportunities – Work from anywhere within the United States with reliable high-speed internet, • Multiple medical plan options, • Health Savings Account with company contributions, • Dental & vision coverage for you and your dependents, • 401k with Company match, • Vacation, sick time & Company paid holidays, • Company wellbeing program with health insurance incentives

Job DescriptionJob Description Role: Data Lead – Enterprise Data Engineering (Banking Sector) Experience Required: 10+ years Employment Type: Full-Time Work Locations: Pittsburgh, Strongsville, Birmingham, Dallas Role Overview: We are seeking a highly experienced Senior Data Lead with deep expertise in ETL frameworks, data lake architecture, and Apache Iceberg. This role requires someone with strong hands-on technical capabilities, leadership in designing scalable data pipelines, and the ability to mentor junior engineers. Key Responsibilities: • Design, develop, and optimize large-scale ETL/ELT pipelines for structured and unstructured data., • Implement data lake solutions using Apache Iceberg on cloud-native platforms (AWS, Azure, or GCP)., • Ensure data governance, version control, schema evolution, and ACID compliance using Iceberg., • Collaborate with Data Scientists, Architects, and Product teams to understand business requirements., • Monitor data pipeline performance and drive improvements and optimizations., • Perform data quality checks, audits, and documentation., • Solid expertise in Apache Iceberg and data lake table formats (Delta Lake, Hudi, etc. – but primarily Iceberg).Qualifications Required Qualification: • Bachelor’s or master’s degree in computer science, Data Science, or Data Analytics., • 10+ years of hands-on experience in ETL, SQL, Data Lakes, and Hadoop., • Proven experience leading technical teams and mentoring junior engineers., • Strong understanding of banking data domains (e.g., customer, transaction, credit, risk)., • Experience with data governance, metadata management, and data quality frameworks., • Familiarity with cloud platforms (AWS, Azure) and data orchestration tools (e.g., Airflow)., • Proficiency in scripting languages (e.g., Python, Shell). Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements. Primary skillset: Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL Secondary: Databricks Nice to have: Informatica/ETL. Responsibilities • Design and develop ETL processes based on functional and non-functional requirements in python / pyspark within Azure platform, • Document component design for developers and for broader communication., • Understand and adopt an Agile (SCRUM like) software development mindset, • Follow established processes/standards, business technology architecture for development, release management and deployment process, • Execute and provide support during testing cycles and post-production deployment, engage in peer code reviews., • Elicit, analyze, interpret business and data requirements to develop complete business solutions, includes data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life cycle management, governance, lineage, metadata and reporting elements., • Apply automation and innovation on new and on-going data platforms for those development projects aligned to business or organizational strategies., • Design, develop and implement reporting platforms (e.g. modeling, ETL, BI framework) and complex ETL frameworks that meet business requirements., • Deliver business or enterprise data deliverables (that adhere to enterprise frameworks) for various platforms/servers/applications/systems. Requirements • Proven working experience as a data engineer, • Bachelor degree or equivalent in Computer Science, • Skilled in Python object-oriented programming, • Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS, • Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora, • Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager, • Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms, • Skilled in SQL, • Skilled in Jenkins, • Skilled in JSON, • Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica, • Skilled in cloud technologies and cloud computing, • Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere, • Determining causes of operating errors and taking corrective action, • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data, • Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB, • Programming including coding, debugging, and using relevant programming languages, • Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc., • Ability to frame ideas as systems and analyzing the inputs, outputs, and process, • Experience helping an organization to plan and manage change in effort to meet strategic objectives, • Adept at managing project plans, resources, and people to ensure successful project completion, • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal

Job Description Role: Senior Big Data Architect Location: Dallas, TX Duration: 3 months Rates: All-Inclusive Locals prefer Another requirement should be a solid understanding of traditional DW/BI environments and how to migrate them to a Cloudera Hadoop based data lake environment. Big Data Architect Skills • Experience in working with Cloudera Big Data / data lake developments projects, • Demonstrated hands-on experience with Cloudera Hadoop distributions, • Demonstrated work experience with distributed, scalable Big Data programming model and technologies such as Hadoop, Hive, Pig, etc., • Strong analytical, negotiation, and organizational skills. Clear focus under pressure., • Good understanding and experience on Spark, Scala, HDFS, HIVE, Impala, • Good understanding of Talend, TAC job server configurations, developing jobs in talend, data profiling, analysis., • Experience in building complex distributed modern data platforms, • Experience with DATA ingestion/ other ETL tools sqoop etc., • Able to benchmark systems, analyze system bottlenecks and propose solutions to eliminate them;, • Able to help program and project managers in the design, planning and governance of implementing projects in Big Data, • Serves as an expert consultant to senior IT leadership on Data architecture and enterprise data initiatives, • Strong experience/exposure across the entire data landscape with the ability to extend traditional data architecture techniques to include big data components. This includes Data Strategy and Architecture development, Data Governance, Master Data Management, Metadata management, Data Integration/ingestion, Data Quality management, Data modeling, Data warehousing, Business Intelligence and advanced Analytics, • Experience with BIRST is preferred, • Must be Cloudera Hadoop Developer Certified, • Experience with MongoDB, • Exposure to cloud infrastructure

In-depth knowledge of data cataloging, metadata management, and lineage tools (AWS Glue Data Catalog, Apache Atlas, Amundsen) to bolster data discovery and governance. In this role, you will not only contribute technically but also provide leadership to a team of data engineers, partner closely with

Stronghold Investment Management (“Stronghold,” “SIM,” or “the Firm”) is a technology-driven, vertically integrated investment manager focused on real-assets and related private markets. Stronghold seeks to deliver best-in-class risk-adjusted returns through an investment framework that features comparatively rapid transaction velocity, deep technical expertise, creative financial structuring, and objective and algorithmic decision making. Stronghold was founded by Ryan Turner in 2016 and has deployed over $1.6 billion in capital across 10+ investment vehicles. Ultimately, Stronghold intends to apply its technology-intensive investment approach to a variety of specialist real assets verticals, including: • Oil & Gas, • Renewables, • Specialty Real Estate (commercial, datacenters, marinas), • Telecommunications and Technology Infrastructure, • Billboards and Fixtures, • Mining & other commodities, • Utilities, • Secondaries Dallas, TX Stronghold Investment Management (“Stronghold,” “SIM,” or “the Firm”) is a technology-driven, vertically integrated investment manager focused on real-assets and related private markets. Stronghold seeks to deliver best-in-class risk-adjusted returns through an investment framework that features comparatively rapid transaction velocity, deep technical expertise, creative financial structuring, and objective and algorithmic decision making. Stronghold was founded by Ryan Turner in 2016 and has deployed over $1.6 billion in capital across 10+ investment vehicles. Ultimately, Stronghold intends to apply its technology-intensive investment approach to a variety of specialist real assets verticals, including: • Oil & Gas, • Renewables, • Specialty Real Estate (commercial, datacenters, marinas), • Telecommunications and Technology Infrastructure, • Billboards and Fixtures, • Mining & other commodities, • Utilities, • Secondaries We are seeking a highly motivated and detail-oriented Product Manager to lead the management and optimization of non-operated oil and gas data. This role will focus on ensuring that data received from non-operated partners (joint ventures, working interests, and other third-party operators) is efficiently integrated, validated, and transformed into actionable insights for internal stakeholders. The ideal candidate will combine strong data management and product ownership skills with a deep understanding of the oil & gas industry and the complexities of working with non-operated assets. • Define the strategy and roadmap for non-operated data products and platforms., • Serve as the primary liaison between business stakeholders and technical teams., • Oversee ingestion, validation, and standardization of partner data (production, costs, division orders, check stubs, operations reports, etc.)., • Ensure data quality, integrity, and accessibility across systems., • Establish and enforce best practices for metadata, taxonomies, and governance., • Partner with operations, finance, and subsurface teams to understand requirements and translate them into scalable product features., • Collaborate with IT and data engineering teams to implement workflows and integrations., • Champion data-driven decision-making by enabling analytics and visualization capabilities., • Bachelor’s degree in Business, Engineering, Geosciences, Data Science, or related field., • 5+ years of lease analysts or engineering tech, data management, or relevant oil & gas experience., • Strong understanding of non-operated working interest/joint venture processes., • Proven track record of managing complex data products or platforms., • A product management background is not necessary, but a strong technical aptitude and willingness to learn product management skills are required., • Knowledge of upstream oil & gas operations and commercial workflows., • Strong data analysis, data governance, and product lifecycle management expertise., • Excellent communication and stakeholder management skills. Why work with Stronghold? At Stronghold, we strive to create a workplace that is not only rewarding but also satisfying. We believe our employees are the driving force behind our success, and we are committed to providing them with an environment where they can thrive and reach their full potential. When you choose to work with us, you'll be joining a team of highly talented professionals who are passionate about what they do and dedicated to bringing technology expertise to our domain. We value innovation, collaboration, and a commitment to excellence, and we provide our employees with the resources and support they need to succeed. If you're looking for a challenging and fulfilling career, we invite you to apply. Benefits • Market-competitive compensation, • Fully paid benefits (Medical, Dental and Vision), • HSA, • 401k + Match, • Company sponsored LTD, STD, life insurance and AD&D, • Generous PTO policy, • 20 company recognized holidays, • Class A offices in prime locations, • Parental Leave Equal Opportunity Employer Stronghold Investment Management is an equal opportunity employer. We believe in creating a diverse and inclusive workforce, where individuals of all backgrounds, experiences, and perspectives can thrive. We are committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by applicable laws. We encourage applicants from underrepresented groups to apply and embrace the unique contributions they can bring to our organization.

Focus on the core content of the job post, removing all extra metadata, navigation, and redundant headers.Keep the formatting beautiful and high signal to noise ratio.Remove all mentions of website cookies, page load errors, and extra spacing.

Focus on the core content of the job post, removing any unnecessary metadata, navigation links, and extraneous details.The goal is to present a clean, beautiful, and high-signal-to-noise ratio version of the job post content.

Focus on the core content of the job post, removing any extra metadata, navigation mentions, and other non-essential information.The goal is to present a clean, beautiful, and high signal-to-noise ratio job description.

Staff Software Engineer Remote Job Duties: • Implement and evolve a Data Lake storage system with low latency and high throughput for bulk data ingestion and query • Implement metadata, data governance, security, and acce

Job Description • Lead and structure consulting engagements for financial services clients, demonstrating strong skills in project planning, execution, and outcome delivery across technology and data product initiatives., • Build and manage trusted client relationships by proactively understanding client priorities, communicating effectively, and driving strategic discussions to solve complex business challenges., • An understanding of the data lifecycle, including data sourcing, ETL processes, metadata management, and/or data quality principles to support building robust data products., • Knowledge of data governance and control frameworks., • Knowledge and/or subject matter expertise in consumer collections and regulatory reporting for risk management initiatives., • 4-6 years of experience in financial services (preferably retail and/or retail lending) consulting., • Excellent skills in the Microsoft Office Suite., • Strong Written and verbal communication skills, with proven problem-solving ability

Focus on the core content of the job post, removing all unnecessary metadata, navigation mentions, and special characters.Keep the content beautiful and concise.

Focus on the core content of the job post, removing all extra metadata, navigation mentions, and irrelevant details.Keep the content clean, beautiful, and high signal to noise ratio.

Focus on the core content of the job post, removing all extra metadata, navigation mentions, and redundant headers.Keep the formatting beautiful and high signal to noise ratio.Remove all emojis, special characters, and error messages.

Focus on the core content of the job post, removing any extra metadata, navigation mentions, and redundant headers.Keep the formatting beautiful and high signal to noise ratio.

Focus on the core content of the job post, removing all extra metadata and navigation elements.Only print the job title and job description, ensuring a high signal to noise ratio for a beautiful and concise presentation.

Focus on the core content of the job post, removing all extra metadata, navigation mentions, and redundant headers.Keep the formatting beautiful and high signal to noise ratio.

Focus on the core content of the job post, removing all extra metadata, navigation mentions, and redundant headers.Keep the formatting beautiful and high signal to noise ratio, removing any emojis, special characters, and error messages.

Focus on the core content of the job post, removing all extra metadata, navigation mentions, and redundant headers.Keep the formatting beautiful and high signal to noise ratio.Remove all emojis, special characters, and error messages.

Focus on the core content of the job post, removing all unnecessary metadata, navigation mentions, and extraneous details.The goal is to present a clean, beautiful, and high-signal-to-noise ratio job description.

Focus on the core content of the job post, removing all unnecessary metadata, navigation links, and extraneous details.The goal is to present a clean, high-signal-to-noise ratio job description that is easy to read and visually appealing.

Focus on the core content of the job post, removing all extra metadata, navigation, and redundant headers.Keep the formatting beautiful and high signal to noise ratio.

Focus on the core content of the job post, removing all extra metadata, navigation mentions, and redundant headers.Keep the formatting beautiful and high signal to noise ratio.Remove any emojis, special characters, website cookies mentions, and page load errors.

Focus on the core content of the job post, removing all extra metadata, navigation mentions, and redundant headers.Keep the formatting beautiful and high signal to noise ratio.

Focus on the core content of the job post, removing all extra metadata, navigation mentions, and redundant headers.Keep the formatting beautiful and high signal to noise ratio.

Focus on the core content of the job post, removing all extra metadata, navigation mentions, and redundant headers.Keep the content beautiful and high signal to noise ratio.

Focus on the core content of the job post, removing all extra metadata, navigation mentions, and redundant headers.

Focus on the core content of the job post, removing all extra metadata and navigation elements.Only print the job title and job description, ensuring a high signal to noise ratio for a beautiful reading experience.

Focus on the core content of the job post, removing any extra metadata, navigation mentions, and redundant headers.Keep the formatting beautiful and high signal to noise ratio.

This is the main job post content.It will be formatted beautifully with a high signal to noise ratio, focusing on the core details of the job.The job details are presented in a clean and organized manner, removing any unnecessary metadata, links, buttons, and special characters.The formatting is con

Focus on the job title and job description, removing all extra metadata, navigation mentions, and redundant headers.Keep the content beautiful and concise.

Focus on the core content of the job post, removing all extra metadata, navigation mentions, and redundant headers.The content should be beautiful and high signal to noise ratio.

This is the main job post content.It focuses on the key details and requirements of the job.The formatting is clean and consistent, with no extra metadata, navigation links, or redundant headers.The job description is presented in a clear and concise manner, highlighting the essential information ne

Focus on the core content of the job post, removing all extra metadata, navigation mentions, and redundant headers.Keep the content beautiful and high signal to noise ratio.

Focus on the core content of the job post, removing all extra metadata, navigation mentions, and redundant headers.Keep the formatting beautiful and high signal to noise ratio.Remove all emojis, special characters, and error messages.

Focus on the core content of the job post, removing any extra metadata, navigation mentions, and redundant headers.Keep the formatting beautiful and high signal to noise ratio.

Focus on the core content of the job post, removing all unnecessary metadata, navigation mentions, and extraneous details.The content is condensed and beautiful to read, with a high signal to noise ratio.

Focus on the core content of the job post, removing any extra metadata, navigation mentions, and redundant headers.Keep the formatting beautiful and high signal to noise ratio.Remove all emojis, special characters, and error messages.

Focus on the core content of the job post, removing all extra metadata, navigation mentions, and redundant headers.Keep the formatting beautiful and high signal to noise ratio.

Focus on the core content of the job post, removing all extra metadata, navigation mentions, and redundant headers.Keep the formatting beautiful and high signal to noise ratio.Remove any emojis, special characters, and error messages.

Focus on the core content of the job post, removing all extra metadata, navigation mentions, and redundant headers.Keep the content beautiful and high signal to noise ratio.

Focus on the core content of the job post, removing any extra metadata, navigation mentions, and redundant headers.Keep the formatting beautiful and high signal to noise ratio.