This page tracks remote data engineer openings that are location-eligible for Mississippi.
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Role Description Capital Heating, Cooling, Plumbing, & Electric is seeking a detail-oriented and reliable Data Entry Specialist to join our team remotely. In this role, you will be responsible for accurately entering, updating, and maintaining various types of data and records critical to the company’s operations. The ideal candidate is highly organized, proficient in data management software, and committed to maintaining data integrity. This remote position offers flexibility while allowing you to contribute to the efficiency and accuracy of our administrative processes. - Enter and update data accurately into company databases and systems. - Verify data for completeness and accuracy, correcting any errors or inconsistencies. - Maintain confidentiality of sensitive information. - Assist with data audits and report generation as required. - Collaborate with team members to ensure timely and efficient data management. - Follow established data entry procedures and best practices. - Communicate any discrepancies or issues promptly to management. Qualifications - Proven experience as a data entry specialist or in a similar administrative role. - Strong attention to detail and accuracy. - Proficiency with data entry software and Microsoft Office Suite, especially Excel. - Good organizational and time management skills. - Ability to work independently in a remote environment with minimal supervision. - Reliable internet connection and a suitable home workspace. - High school diploma or equivalent; additional education is a plus. Benefits - Health Care Plan (Medical, Dental & Vision) - Retirement Plan (401k, IRA) - Life Insurance (Basic, Voluntary & AD&D) - Paid Time Off (Vacation, Sick & Public Holidays) - Training & Development - Work From Home Company Description
BAYADA Home Health Care, founded in 1975 by J. Mark Baiada, has been a trusted provider of home-care services for more than 40 years. BAYADA is recognized as on
Role Description This is a remote role. The Director, Data Engineering, is a critical and trusted leadership role, responsible for leading and forming the enterprise’ data platforms that support BAYADA’s mission and long-term goals. This role is responsible for formulating and implementing a comprehensive data strategy that aligns with the organization’s overall business objectives, enabling reliable, secure, and scalable data foundations for analytics, decision-making, and AI across the enterprise. The Director, Data Engineering, is responsible for ensuring data initiatives support and enhance the overall business strategy, fostering growth and competitive advantage. Qualifications - Exemplifies characteristics of The BAYADA Way: compassion, excellence, and reliability. - Four (4) year college degree in Computer Science, Information Systems, Engineering or related field. Advanced Degree preferred. - Twenty (20) years of progressive experience leading and transforming data engineering and analytics teams in a growth-oriented environment. - Five (5) years specifically focused on enterprise data platforms, Lakehouse and cloud-native data architectures, and large-scale data engineering programs. - Demonstrated experience in implementing automation in engineering workflows. - Demonstrated automations in multi-cloud architecture environments. - Relevant certifications preferred, not required (e.g., Amazon Web Services (AWS), Databricks, Certified Data Management Professional (CDMP), Project Management Professional (PMP)). - Demonstrated record of strong interpersonal skills and building relationships. - Demonstrated record of goal achievement and exceeding performance standards. - Demonstrated ability to lead people and get results through others. - Proven ability to lead enterprise data engineering projects and teams and the development of data and analytics solutions. - Expertise in software development, IT infrastructure, data architecture, and emerging technologies. - Exceptional organizational skills and problem-solving abilities. - Demonstrated experience in cloud data platform migration and cloud-native data engineering. - Proven track record of working with multi-functional, cross-site teams in a remote, complex work environment. - Experience managing budgets and vendor/contract relationships. - Strong understanding of secure data engineering practices, agile development methodologies, and healthcare industry security and privacy regulations like HIPAA, HITECH, and NIST framework. - Demonstrated experience in modernizing legacy data platforms and implementing enterprise-scale data integrations. - Proven ability to manage high-pressure situations with professionalism and discretion. - Strong relationship-building skills to promote collaboration and drive successful outcomes. - Proven ability to build on open-source platforms (e.g., Databricks, AWS, Apache Spark, data build tool (DBT), Airflow, SQL/Python). - Solid written and verbal communication skills. - Strong customer service skills. - Excellent organizational skills and strong attention to detail. - Understands and connects with the BAYADA culture. Requirements - Demonstrate and communicate the core values of BAYADA and The BAYADA Way. - Champion BAYADA’s core values and The BAYADA Way, ensuring these principles guide every initiative and decision. - Lead the strategy, development, and execution of the enterprise data platform. - Advance adoption of modern data engineering practices. - Oversee the modernization of legacy data warehouse and BI environments. - Design, scale, and manage BAYADA’s data integration and pipeline framework. - Operationalize and oversee robust data quality, observability, and lineage programs. - Support the organization’s AI and analytics strategy. - Collaborate with IT infrastructure, cybersecurity, enterprise architecture, application engineering, and analytics teams. - Partner with product management and business stakeholders to ensure the on-time delivery of data roadmaps. - Ensure compliance with all relevant healthcare industry regulations. - Foster and sustain a culture of innovation, collaboration, teamwork, and continuous learning. - Serve as a strategic advisor to executive leadership on data investments. - Identify, evaluate, and guide the adoption of emerging data technologies. - Streamline data engineering operations to enhance productivity and organizational effectiveness. - Develop and implement comprehensive strategies to mitigate data and platform risks. - Lead organizational change management related to data platform adoption. - Build and maintain strong, trust-based relationships with leaders and stakeholders. - Establish, monitor, and report on service level agreements (SLAs) and key performance indicators (KPIs). - Cultivate, lead, and develop a high-performing, inclusive, and collaborative data engineering team. - Oversee the creation, implementation, and enforcement of data engineering policies. - Allocate resources strategically, including budget and personnel. - Demonstrate solid performance or exceed performance standards in key job dimensions/attributes. - Perform related duties and special projects as required or requested by supervisor. Benefits - Base Salary: $195,000 - $220,000 / year depending on qualifications. - Bonus Opportunity. - Comprehensive benefits plan including: - Paid holidays, vacation, and sick leave. - Vision, dental, and medical health plans. - Employer paid life insurance. - 401k with company match. - Direct deposit and employee assistance program.
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• Lead the end-to-end development of an internal-facing GenAI capability • Conduct competitive scans of the emerging Databricks ecosystem and adjacent tooling • Help define schemas, APIs, and contracts • Participate in biweekly Data Platform demos and engineering standups • Close collaboration and weekly 1:1s with the Principal Product Manager of Data Platform.
We help companies develop the world's most productive and admired workforces.
• Own the Data Governance & Accessibility program • Design scalable data architecture • Improve pipeline reliability and mentor data engineers
• Architect, implement, and optimize data platforms and pipelines specifically designed to support LLMs, Retrieval-Augmented Generation (RAG), and sophisticated AI agentic systems at Exabyte scale • Drive the adoption and deployment of agentic workflows and agent harnessing techniques to create autonomous, data-driven security features • Design and implement highly scalable, fault-tolerant, and cost-effective data solutions, emphasizing rapid iteration and high-quality deployment • Write elegant, production-ready code with a focus on performance, maintainability, and testing rigor, ensuring the ability to ship fast without compromising quality • Provide technical leadership and deep expertise in data modeling, normalization, and semantic cataloging for AI/ML workloads • Establish best practices for MLOps/DataOps surrounding LLMs, including monitoring, observability, and zero-touch recovery mechanisms for AI services • Actively mentor engineers, conducting technical workshops, leading design reviews, and strengthening the team's knowledge in cutting-edge AI platform technologies • Collaborate across the organization with Data Scientists, Product Managers, and other engineering teams to transform research prototypes into robust, production-grade services • Own the end-to-end lifecycle of critical data services: development, testing, deployment, and monitoring
The nation's leading high school media company providing live streaming and digital ticketing services.
• Serve as the primary delivery partner for the Streaming Intelligence product line and DPT, converting roadmap priorities into actionable project plans with clear milestones, owners, and dependencies. • Co-own quarterly and annual planning with the Principal PM—from ideation through go-to-market—ensuring engineering capacity, vendor timelines, and business priorities are aligned. • Track and report on product line KPIs defined by the Principal PM (accuracy benchmarks, processing latency, content coverage, downstream adoption) and surface risks or deviations early. • Partner with the data team on agentic AI enablement—coordinating efforts to surface data models and semantic views to the broader business through AI-powered interfaces, including usage tracking and accuracy assurance. • Manage delivery cadence for platform infrastructure initiatives including data governance rollouts, real-time streaming capabilities, and pipeline migration efforts—tracking phased delivery across multiple months with clear metrics of success. • Lead end-to-end program management for AI pipeline initiatives, including the game film analysis benchmarking program that evaluates vision models (e.g., Gemini Flash, Gemini Pro) against human-tagged ground truth across 28+ annotated fields per play. • Manage the cadence of model evaluation cycles: coordinating game imports, prompt engineering iterations, accuracy scoring, and cost analysis across multiple AI models. • Drive vendor integration workstreams—tracking deliverables, SLAs, and roadmap alignment with external computer vision and AI partners alongside the Principal PM. • Build and maintain project documentation for hybrid human-AI workflows, including escalation paths for ambiguous plays, quality review processes, and fallback handling. • Facilitate cross-team visibility across product, engineering, data, design, and QA to ensure aligned execution mapping back to PlayOn’s unified product objectives: Engaged Communities, Resilient Services, and New Customer Markets. • Own dependency mapping, risk management, and blocker resolution for strategic AI initiatives spanning multiple engineering teams. • Develop and maintain project dashboards, status reports, and executive-level communications that increase transparency of engineering progress to the broader business. • Provide governance and optimization for Atlassian tools (Jira, Confluence) to ensure standardized workflows, consistent estimation practices, and clear traceability from strategy to execution. • Champion operational improvements to planning cycles, stakeholder coordination, cross-org meetings, and feedback loops—creating transparency through standardized tooling and repeatable frameworks. • Actively incorporate AI tools (e.g., Claude, automation platforms) into your own delivery workflows: automating status reports, synthesizing meeting notes, generating risk analyses, and accelerating documentation. • Contribute to PlayOn’s broader AI maturity journey by demonstrating AI-augmented delivery practices that can be adopted across the PMO and engineering organization.
Federal contracting company specializing in technical, geospatial, healthcare, and administrative solutions.
• Designing and maintaining scalable database architectures for analytical workloads, ensuring optimal performance through indexing, partitioning, caching, and query tuning. • Developing, automating, and maintaining data ingestion, transformation, validation, and loading pipelines to support high-quality data flows. • Building reusable data connection modules and backend infrastructure components to streamline data operations and support future scalability. • Supporting data preprocessing, normalization, and rigorous data quality validation processes. • Contributing to cloud migration planning, governance, and evaluation of cloud solutions for security, compliance, interoperability, and performance. • Producing comprehensive data models, architecture diagrams, flowcharts, and technical documentation for internal and external stakeholders. • Utilizing PowerShell scripting and automation to enhance data engineering workflows and system integration. • Collaborating with technical, security, and stakeholder teams throughout the project lifecycle to deliver high-impact data solutions.
Driving Customer Success Through Finance Transformation: Advanced Processes, Analytics, & AI.
• Lead and execute SAP Data Migration activities for enterprise transformation projects. • Work extensively on Material Master, Purchase Orders, Outline Agreements, BOM, Routing, and Contracts data objects. • Perform data extraction, cleansing, mapping, validation, and reconciliation activities. • Collaborate with business users, functional consultants, and technical teams to define migration requirements and data standards. • Support migration strategy, mock loads, cutover planning, and go-live activities. • Ensure data quality, governance, and compliance throughout the migration lifecycle. • Conduct functional validations and support issue resolution during testing and deployment phases. • Coordinate with cross-functional teams including procurement, manufacturing, supply chain, and master data management teams. • Create migration documentation, mapping sheets, SOPs, and status reports. • Mentor junior team members and support knowledge-sharing initiatives.
We don’t just get the job done: we constantly think about how to get it done better.
Role Description We are looking for a Data Engineer who enjoys solving complex problems and building scalable data solutions. This person will play a key role in designing, developing, and optimizing data platforms that support analytics, reporting, machine learning, AI initiatives, and other data-driven business needs. The ideal candidate is comfortable working on new projects, contributing to technical architecture decisions, and collaborating with cross-functional teams to deliver end-to-end solutions. Strong communication skills are important, as you'll need to explain technical concepts to both technical and non-technical audiences and work closely with clients, stakeholders, and team members. Essential Functions: - Assemble large, complex data sets that meet business requirements through extraction, transformation, and loading of data from a wide variety of data sources. - Provide operational support and troubleshooting for existing processes and systems. - Work closely with architects, solution leads, data owners, Data Scientists and key stakeholders to facilitate and coordinate the data platform backlog grooming process, triaging new feature requests in preparation for future project activities. - Deliver automation & efficient processes to ensure high quality throughput & performance of the entire data & analytics platform. - Ensure data extraction, transformation and loading data meet data security & compliance requirements. - Engage with data source platform leads to gain tactical and strategic understanding of data sources required by Agency Data Services AI/ML as well as Data Office standards. - Create data tools for data scientist team members that assist them in building and optimizing models. Qualifications - BS degree in Computer Science, Data Science, Engineering, or equivalent software/services experience required. - 4+ years working with SQL, Snowflake, Databricks, Spark, and other big data technologies. - 4+ years using Python, SQL, PySpark, R, or similar languages and manipulating, processing, and extracting value from large, disconnected data sets. - 4+ years building and optimizing data pipelines, architectures, and data sets to answer business questions and identify opportunities for improvement. - 2+ years supporting large-scale data processing and storage using Azure Data Factory, Integration Runtime, Data Lake, Databricks, Spark, Azure ML, and Cosmos DB. - 2+ years addressing privacy, compliance, and security aspects of data storage and processing; and delivering data solutions in Agile environments. - 2+ years with software development and CI/CD methodologies and tools for automated infrastructure code and MLOps and designing, implementing, and maintaining automation platforms and tools, including Ansible Tower, Azure, ARM, Terraform Enterprise, Azure DevOps, and GitHub Actions. - 2+ years with Salesforce FSC and Salesforce Data Cloud. Requirements - Strong communication and problem-solving skills. - Troubleshooting expertise. - Proficiency in Python, SQL. - Experience with Extract, Transform, Load (ETL) processes. - Experience building data pipelines. - Experience with Apache Spark and Apache Hadoop. - Experience with Amazon Web Services. Benefits - Health insurance - Paid holidays - Flexible time off - 401k retirement savings plan and company match with pre-tax and ROTH options - Dental insurance - Vision insurance - Employer paid disability insurance - Life insurance and AD&D insurance - Employee assistance program - Flexible spending accounts - Health savings account with employer contributions - Accident, critical illness, hospital indemnity, and legal assistance - Adoption assistance - Domestic partner coverage
Gordon Rees Scully Mansukhani, or GRSM, is a national law firm headquartered in San Francisco, California. Founded by Stu Gordon and Don Rees as Gordon & Rees i
Role Description Gordon Rees Scully Mansukhani, a national law firm with offices in all 50 States, has an immediate opening for a Financial Data Reporter. This is a remote or hybrid role reporting to one of the firm’s many locations across the US. The primary function of this entry to mid-level role is to review, prioritize, and respond to ad-hoc data inquiries from internal users by utilizing data warehouses, financial application tools, or simple SQL queries. This position requires strong communication, interpersonal, and organizational skills along with high computer literacy and the ability to collaborate across a multitude of departments and varying user financial aptitudes within the firm. The ability to work efficiently under pressure, manage competing data requests, and maintain accuracy in a fast-paced environment is essential. Qualifications - A four-year college degree, ideally in accounting, business, finance, or mathematics is preferred; applicants with equivalent, relevant work experience in the accounting and/or legal fields will also be considered. - Work experience or academic background should demonstrate appropriate understanding/working knowledge of detailed financial data and modeling. - Proficient knowledge of Microsoft Excel is required. - Working knowledge of Microsoft SQL, SSRS, and Teams is a strong plus. - Solid computer literacy and familiarity with the standard MS Office Suite, including word processing, spreadsheet, database, and presentation programs. - Ability to communicate and interact effectively with employees with varied backgrounds, skill sets, and levels of financial technical aptitude. - Highly organized, adept at prioritizing data requests, problem-solving, and working under deadlines. - Ability to work both independently, with little or no direction, and collaboratively within a team or inter-departmentally. Requirements - Review, prioritize, and fulfill ad-hoc financial data inquiries from internal firm users via a ticketing system in a timely and accurate manner. - Extract, manipulate, and analyze data out of core data warehouses and legal financial application tools. - Write and execute simple SQL queries to extract necessary financial sets for reporting requests. - Identify needs for automated data reporting solutions based on recurring internal user requests. - Coordinate directly with FinTech developers to design, test, and provide automated data-driven solutions for customers and internal departments. - Assist in mapping out data requirements and workflow logic to improve reporting delivery and data visibility across the firm. - Validate reporting outputs to maintain data integrity and protect the quality of reporting systems. - Translate complex financial data into clear, readable layouts (such as spreadsheets, summaries, or basic presentation formats) for users of varying financial aptitudes. Benefits - Competitive compensation. - Full benefits package, including Medical, Dental, Vision, 401K, PTO, Disability, Parental Leave & Life Insurance. - The yearly salary range is between $55,000-$70,000. Company Description This position is open to all experience levels. The actual salary offered may be above or below the identified range and will be based on a wide range of factors, including relevant skills, training, experience, including the location where the position is filled. For consideration, please submit a cover letter and resume. No recruiter emails or telephone calls. Disclaimer: Reposting positions from this website does not authorize search firms or other third parties to directly solicit candidates on the firm’s behalf or represent a relationship with the firm. Agencies must sign GRSM’s fee agreement. The firm’s search agreements are specific to individuals and groups who will be considered on a case-by-case basis. Candidates submitted by a search firm without an executed search firm agreement will not be considered as an applicant. For consideration, please send a detailed blind profile of your candidate to: recruiting@grsm.com.
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