This page tracks remote data engineer openings that are location-eligible for Virginia.
Open jobs
2,523
Hiring companies this week
10
Salary sample
$60,000 - $195,000
Jobs added last hour
0
2523 Jobs
1558 Companies
• Inherit, evaluate, and take full ownership of existing ETL/ELT pipelines — identifying what to preserve, improve, or replace based on performance, reliability, and long-term maintainability. • Design and build scalable pipeline improvements or net-new solutions where current practices fall short. • Monitor pipeline health, troubleshoot data quality issues, and proactively resolve performance and reliability problems. • Manage and evolve orchestration tooling with openness to adopting better alternatives as infrastructure needs grow. • Optimize query performance, pipeline efficiency, and resource utilization across Convo’s data environment. • Participate in testing, deployment, and monitoring practices that promote long-term reliability and scalability. • Develop and maintain scalable data transformation processes, schema design, and data models that support evolving business requirements. • Establish and evolve data quality testing frameworks - building practices that catch issues early and create lasting internal trust in our data. • Own data governance, documentation, lineage, version control, and data quality standards across the organization. • Serve as the primary internal resource for data engineering guidance and recommendations, helping set standards and informing data infrastructure decisions across the organization. • Work closely with the data analyst to translate business questions into reliable, queryable data structures. • Educate and guide non-technical stakeholders on how to work effectively with data, what is and isn’t feasible, and how to frame data requests clearly. • Explore and implement tooling to enable self-service data discovery for internal teams, reducing bottlenecks and empowering stakeholders to answer their own questions. • Collaborate with Product, Engineering, Finance, Operations, and Data Science stakeholders to support reporting, forecasting, and business intelligence needs. • Partner with Product and Engineering teams to integrate analytics, event tracking, and reporting into products and platforms. • Establish and document data engineering standards, workflows, and best practices at Convo — building a foundation that is sustainable, well-understood, and not dependent on any single person. • Contribute to improvements in data architecture, tooling, monitoring, automation, and engineering best practices. • Evaluate emerging technologies and tooling to improve efficiency, automation, and accessibility of data systems. • Maintain clear technical documentation and operational standards that support long-term maintainability. • Exercise sound technical judgment in balancing immediate business needs with long-term platform sustainability. • Maintain strong confidentiality and discretion when handling sensitive organizational, financial, operational, and employee data.
This position is a salary grade 8 and ranges from $99,100-166,200. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value. Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660. #LI-Remote #LI-DE2
Role Description This role requires a unique blend of technical expertise, analytical skills, strong communication abilities, and a solid understanding of business principles. The ideal candidate will be a problem-solver who can contribute to both technical projects and strategic decision-making. The ideal candidate will be able to work independently as well as on a team, a proven communicator who effectively interfaces between technical and business teams. What you'll do... - Technical Engineering & Problem Solving: - Apply engineering principles and methodologies to solve complex technical challenges. - Troubleshoot technical issues and develop effective solutions in a timely manner. - Stay up to date with the latest advancements in relevant technologies. - Data Analysis & Reporting: - Collect, analyze, and interpret large datasets using Excel and other analytical tools. - Develop and maintain insightful reports and dashboards to track key performance indicators (KPIs) and identify trends. - Use data-driven insights to make recommendations for process improvements, cost reduction, and efficiency gains. - Communication & Collaboration: - Communicate technical information clearly and effectively to both technical and non-technical audiences. - Collaborate with cross-functional teams (e.g., sales, marketing, operations) to achieve common goals. - Present technical findings and recommendations to management in a concise and persuasive manner. - Act as a technical resource and mentor to junior engineers. - Business Acumen & Strategy: - Understand the business implications of engineering decisions and contribute to strategic planning. - Identify opportunities to leverage technology to improve business processes and gain a competitive advantage. - Participate in cost-benefit analyses and ROI calculations for engineering projects. - Stay informed about industry trends and market dynamics. - Project Management: - Develop project plans, track progress, and identify and mitigate risks. - Coordinate resources and communicate effectively with stakeholders. Qualifications - Bachelor's Degree in Engineering, Business or Finance. - 2+ years of experience with: - Engineering principles and methodologies. - Working with large datasets using Excel and other analytical tools. - Developing and maintaining reports and dashboards to track key performance indicators (KPIs) and identify trends. - Collaborating with cross-functional teams. - Presenting to management. - Developing project plans, tracking progress, and identifying and mitigating risks. Benefits - Immediate medical, dental, vision and prescription drug coverage. - Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more. - Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more. - Vehicle discount program for employees and family members and management leases. - Tuition assistance. - Established and active employee resource groups. - Paid time off for individual and team community service. - A generous schedule of paid holidays, including the week between Christmas and New Year’s Day. - Paid time off and the option to purchase additional vacation time. Company Description This position is a salary grade 8 and ranges from $99,100-166,200. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value. Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660. #LI-Remote #LI-DE2
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
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.
Department name: IT@JH Networking, Telecom and Data Ctr Personnel area: University Administration
Role Description IT@JH Univ Data Analytics & Engineering is seeking a Research Data Engineer II who will support research investigators and Research Leadership across Johns Hopkins University and Johns Hopkins Medicine by designing and deploying complex data architectures and supporting data integration, curation, and analysis. The Research Data Engineer works with cloud lake house environments such as Databricks and Microsoft Fabric, as well as modern ETL tools and Python to manage and support data pipelines for enterprise research data products. Assignments are primarily project-based, involving direct engagement with end-users to understand requirements, facilitate modeling sessions, write business and technical requirements, and implement solutions. The role functions with a high degree of independence under the general supervision of the IT Director of Research Data, with work assigned through project goals and reviewed based on solution outcomes. - Contribute to the design, production, and maintenance of data pipelines for data acquisition, management, transformation, and back-end code development to power data web applications and convert raw data into usable information. - Write and maintain ETL/ELTs that operate on a variety of structured and unstructured sources. - Develop and maintain web data scraping systems for automatic data acquisition. - Help design data architecture and provide ongoing support. - Input/output data from databases and perform queries. - Create scripts to clean, transform, and analyze data. - Put into production data pipelines using data warehousing systems. - Create and implement production software to monitor data quality and detect data anomalies. - Perform daily manual data quality assurance tasks. - Support, maintain, and troubleshoot the software infrastructure. - Source data, conduct analyses, visualize data, and generate insights to support ongoing research projects and other requests across the organization. - Collaborate with developers, analysts, data scientists, researchers, policy experts, and other partners. - Communicate with Division leadership, and others on the team. - Collaborate with external partners, contractors, and vendors. - Other duties as assigned. Qualifications - Bachelor’s Degree. - Five years of related work experience focused within database management and design, and business requirements gathering. - Additional education may substitute for required experience and additional related experience may substitute for required education permitted by the JHU equivalency formula beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula. Requirements - Experience with data standards such as controlled vocabularies (e.g., SNOMED, LOINC, ICD) and the OMOP common data model. - Experience working with EHR data, particularly EPIC data models such as Clarity and Caboodle. - Experience working with a variety of data types such as semi-structured and unstructured data. - Experience working in a highly decentralized, consensus-driven environment, such as an academic institution. - Experience directly engaging with end users to understand requirements and implement successful architectures. - Thorough knowledge of data warehouse and data management principles and processes and database development. - Strong proficiency in SQL programming, query writing, query performance tuning, and database technologies. Benefits - Starting Salary Range: $99,800 - $175,000 Annually (Commensurate w/exp.) - Employee group: Full Time - Schedule: Mon-Fri 8:30am-5:00pm - FLSA Status: Exempt - Location: Remote - Department name: IT@JH Univ Data Analytics & Engineering - Personnel area: University Administration
We lead the healthcare community to deliver patient-focused care.
• Define and execute the data product strategy and roadmap aligned with company objectives, customer needs, and data-driven growth opportunities. • Develop business cases and investment recommendations for new platform capabilities, data services, and strategic enhancements that improve scalability, interoperability, and customer value. • Lead cross-functional teams to deliver scalable data products and insights solutions. • Translate business requirements into data product capabilities, prioritizing initiatives that drive measurable business outcomes. • Partner with engineering and analytics teams to develop, launch, and optimize data platforms, reporting solutions, and advanced analytics products. • Conduct market research, customer discovery, and competitive analysis to identify emerging data opportunities and inform product investments. • Define and monitor KPIs for data products, leveraging analytics to measure performance, user adoption, business impact, and continuous improvement opportunities. • Evaluate new data monetization opportunities, develop business cases, and assess financial impact for data-driven offerings and partnerships. • Collaborate with Sales, Marketing, Customer Success, and Partner teams to understand customer needs and uncover opportunities for data-enabled solutions. • Develop data product positioning, value propositions, and go-to-market strategies to drive adoption and revenue growth. • Partner directly with customers and strategic accounts to gather requirements, validate product-market fit, and identify opportunities for innovation. • Serve as the voice of the customer and business stakeholder, ensuring data products deliver actionable insights, usability, trust, and measurable value. • Lead stakeholder presentations, product demonstrations, and roadmap discussions to drive alignment, adoption, and engagement. • Collaborate with Customer Success, Account Management, and Sales teams to identify expansion opportunities and maximize the value of data products and analytics solutions.
Find, hire and manage teams in days instead of months with the #1 Global Growth Platform.™
• 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.
2,513more opportunities are still waiting for you.Log in now and take your next shot before someone else does.
SQL, Python, ETL, Excel, Databricks, Microsoft Office
