This page tracks remote data engineer openings that are location-eligible for North Carolina.
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We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other protected characteristic.
Role Description We’re seeking a Mid-Level Data Engineer/Analyst to independently design, build, and optimize data pipelines and analytics solutions that power business intelligence and AI/ML initiatives. In this role, you will own key data workstreams end to end, build production-grade transformation layers using dbt and Spark, manage data infrastructure on Snowflake and Databricks, and collaborate with analysts, data scientists, and product teams to deliver reliable, well-governed, and high-quality data products. You will also contribute to the maturity of our DataOps and data observability practices. - Design, build, and maintain production-grade ETL/ELT pipelines using dbt, Apache Spark (PySpark), Airflow, Dagster, or Prefect. - Develop and optimize data models on Snowflake, Databricks, BigQuery, or Redshift following dimensional modeling, data vault, or One Big Table patterns. - Implement and manage data ingestion from diverse sources including databases, REST/GraphQL APIs, event streams (Kafka, Kinesis), SaaS platforms, and flat files using Fivetran, Airbyte, or custom connectors. - Build and maintain semantic/metrics layers and curated data products for analytics, reporting, and self-service consumption. - Implement data quality, testing, and observability frameworks using dbt tests, Great Expectations, Soda, Monte Carlo, or Datafold. - Create advanced dashboards, reports, and analytical visualizations using Tableau, Looker, Power BI, or Sigma Computing. - Optimize query performance, pipeline efficiency, and cloud data platform costs across Snowflake, Databricks, or BigQuery. - Collaborate with data scientists and ML engineers to prepare and serve feature datasets for machine learning models. - Implement DataOps practices including CI/CD for data pipelines, version-controlled transformations, and automated testing. - Write production-quality Python and SQL code with proper testing, documentation, and error handling. - Support data governance initiatives including cataloging, lineage tracking, access controls, and PII management using tools like Alation, Atlan, DataHub, or Unity Catalog. Qualifications - Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. - 3–5 years of professional experience in data engineering, analytics engineering, or a closely related role with production delivery. - Strong proficiency in SQL and experience writing complex transformations, window functions, CTEs, and performance-tuned queries. - Hands-on experience with at least one modern data platform: Snowflake (strongly preferred), Databricks, BigQuery, or Redshift. - Experience with dbt (data build tool) for data transformation, testing, and documentation in production environments. - Working knowledge of Python (Pandas, PySpark, or Polars) for data processing and pipeline development. - Experience with workflow orchestration tools: Airflow, Dagster, Prefect, or cloud-native equivalents (AWS Step Functions, Azure Data Factory). - Familiarity with data ingestion tools and patterns: Fivetran, Airbyte, CDC (Debezium), or streaming ingestion (Kafka, Kinesis). - Experience with data visualization and BI tools: Tableau, Looker, Power BI, or Sigma. - Understanding of data modeling methodologies (Kimball, Data Vault, OBT) and data warehousing best practices. - Familiarity with version control (Git), CI/CD for data, and Agile development workflows. Preferred Qualifications - Snowflake SnowPro Core, Databricks Data Engineer Associate, or AWS Data Analytics Specialty certification. - Experience with Apache Spark and Databricks for large-scale data processing and lakehouse architectures. - Familiarity with data cataloging and governance tools: Alation, Atlan, DataHub, Collibra, or Databricks Unity Catalog. - Experience with data observability platforms: Monte Carlo, Datafold, Soda, or Elementary. - Exposure to streaming data pipelines using Kafka, Spark Structured Streaming, Flink, or Kinesis. - Experience with metrics/semantic layers: dbt Semantic Layer, Cube, or Looker Modeling Language (LookML). - Knowledge of cloud data infrastructure: AWS (S3, Glue, Athena, Redshift, Lake Formation), Azure (ADLS, Synapse, Data Factory), or GCP (GCS, Dataflow, BigQuery). Benefits - Unlimited PTO. - Very generous parental leave, much above industry standards. - Entrepreneurial culture where pushing limits and taking risks is everyday business. - Open communication with management and company leadership. - Small, dynamic teams = massive impact. - Medical, Dental and Vision coverage for employees. - Access to Disability & Life insurance. - Mental health and wellbeing support. - Annual bonus program. - Employer Stock Purchase Program (ESPP). - Yearly Team building experiences. - Mentorship and sponsorship opportunities. - Manager resources and support.
Role Description We are seeking a dependable and detail-oriented Remote Data Entry Assistant to support daily administrative and data management operations. The ideal candidate will accurately enter, update, and verify information across company systems while maintaining confidentiality and meeting productivity and accuracy standards in a remote work environment. - Enter, update, and maintain data in company databases, spreadsheets, and CRM systems. - Verify information for accuracy and correct errors or inconsistencies. - Organize and maintain electronic records and digital files. - Perform routine data quality checks and generate basic reports as requested. - Assist with document processing, file management, and other administrative tasks. - Maintain confidentiality of sensitive customer and company information. - Meet daily productivity and accuracy goals. - Communicate with team members to resolve data discrepancies and support workflow improvements. Qualifications - High school diploma or equivalent required; Associate's degree preferred. - 0–2 years of experience in data entry, administrative support, or clerical work preferred. - Typing speed of 45+ WPM with strong accuracy. - Proficiency in Microsoft Office (especially Excel), Google Workspace, and basic database systems. - Strong attention to detail, organization, and time management skills. - Ability to work independently in a remote environment. - Reliable high-speed internet connection and a dedicated home office. Benefits - Competitive hourly pay - Health, dental, and vision insurance - 401(k) with company match - Paid time off and company holidays - Flexible remote work schedule - Paid training and professional development - Home office equipment stipend - Employee assistance program (EAP) - Performance-based bonuses - Career advancement opportunities
Virtual care provider on a mission to positively transform the lives of individuals living with chronic conditions
• Lead the design, development, and implementation of enterprise data architecture for the new platform • Architect scalable data platforms supporting daily operations, clinical management, reporting, and analytics • Leverage AI technology to design the system, develop the system, and maximize efficiency of operations • Design and maintain enterprise data models, including conceptual, logical, and physical data architectures • Define and implement data integration patterns across Microsoft Dynamics, EHR/EMR systems, claims systems, and third-party applications • Design and oversee ETL/ELT processes to ingest, transform, validate, and distribute data across enterprise systems • Establish data governance standards, metadata management practices, data quality frameworks, and master data management strategies • Collaborate with Engineering teams to design modern cloud-based data solutions leveraging Azure data services • Architect data lake, data warehouse, and data mart solutions to support reporting and advanced analytics needs • Ensure solutions comply with HIPAA, HITRUST, privacy, security, commercial, and regulatory requirements • Partner with business stakeholders to translate strategic objectives into scalable data solutions • Other duties as assigned
Vultr is on a mission to make high-performance cloud computing easy to use, affordable, and locally accessible.
• Design and implement the canonical data model for Vultr’s control plane ERP transformation: product catalog, chart of accounts, financial transactions, cost centers • Build and maintain the internal APIs and event streams that Finance, Analytics, and downstream systems consume • Refactor existing administer code toward clean domain boundaries (no more conflated orders/ledger/report tables) • Implement data upgrade/migration paths from legacy schemas without breaking production • Write the integration layer between administer and Vultr's existing billing, provisioning, and reporting systems • Establish data validation and integrity checks across the financial data layer • Collaborate with the Product Manager to translate finance domain requirements into durable schema designs • Document architectural decisions and data model contracts for downstream consumers
• Define and own the strategic architecture of Foodsmart's data platform • Lead the design and implementation of next-generation data pipelines • Establish company-wide standards for data quality, governance, security, and compliance • Act as a cross-functional technical leader, partnering with engineering, product, data science, and business stakeholders • Identify systemic bottlenecks and drive platform-wide improvements • Mentor and level up engineers; influence hiring decisions and data platform strategy • Serve as an internal authority on data engineering best practices
A health management technology company, Privia Health is a national practice led by physicians. The company was founded in 2007 to provide physician groups with resources dedicated
Role Description The Full Stack Engineer is a highly skilled developer equally at home in Ruby and SQL. Our team develops and maintains a stable of Rails applications that power our core patient- and provider-facing digital products. You will act as the data backbone supporting real-time and operational products, with examples as: - Patient automated actions - MyPrivia patient portal - Privia Insights (embedded inside athenaOne) - Online scheduling - Communication orchestration layers We are looking for an engineer who actively integrates AI-assisted coding tools to accelerate development, optimization, and testing. You must have experience translating complex business requirements into scalable, secure, cloud-native data architectures while partnering with a distributed team of engineers. Our team is currently 7 developers. We all work remotely, and have for more than 10 years. Our team is highly collaborative, we succeed and fail together, not as individuals. We maintain a stable of Rails/React applications ranging from microservices to majestic monoliths. We have a culture of mentorship and knowledge sharing. We work using the Scrum process, in two week sprints. We proudly have a trans-inclusive and family friendly health plan, plus a lot of other great benefits. Primary Job Duties: - Product-Driven Engineering: Design, build, and maintain high-performing rails and javascript applications that power core application features and support our mobile applications. - Data Modelling and Development: Provide hands-on development of data models, data load pipelines and SQL scripts in MySQL and Snowflake. - AI-Augmented Development: Integrate AI-assisted programming tools (e.g., Gemini) into daily development workflows to optimize SQL queries, accelerate application development, and build robust automated test suites. - Data Integrity & Quality Assurance: Build and maintain unit and integration tests for the applications and databases we support. - Agile Collaboration: Collaborate directly with product owners and business analysts to plan and define data requirements, actively participating in and contributing to Scrum/Agile ceremonies. Qualifications - 4+ years of experience with Ruby On Rails - 5+ years of experience with SQL database development, ideally in a cloud environment such as Google Cloud or Snowflake - Strong hands-on experience utilizing public cloud services (AWS, Azure or GCP) alongside modern data platforms like Snowflake. - Experience using AI development assistants to write, optimize, and debug code. - Proven experience delivering value within an Agile/Scrum team structure. Requirements - Experience engineering data workflows specifically for patient engagement, digital health portals, or automated scheduling products. - Deep, practical knowledge of healthcare data ecosystems (claims data, clinical EHR workflows, patient scheduling patterns) and strict compliance with HIPAA rules and regulations. - Experience with modern data transformation orchestration tools (such as dbt, Airflow, or Prefect). - Prompt engineering skills or experience fine-tuning AI tools for development workflows. Benefits - Trans-inclusive and family friendly health plan - Annual bonus targeted at 15% - Expense reimbursement for remote work-related costs Additional Information All your information will be kept confidential according to EEO guidelines. The salary range for this role is $110,000.00 to $130,000.00 in base pay and exclusive of any bonuses or benefits (medical, dental, vision, life, and pet insurance, 401K, paid time off, and other wellness programs). The base pay offered will be determined based on relevant factors such as experience, education, and geographic location. In order to successfully work remotely, supporting our patients and providers, we require a minimum of 5 MBPS for Download Speed and 3 MBPS for the Upload Speed. This should be acquired prior to the start of your employment. The best measure of your internet speed is to use online speed tests like https://www.speedtest.net/ . Employees who regularly work from home offices are eligible for expense reimbursement to offset this cost. Privia Health is committed to creating and fostering a work environment that allows and encourages you to bring your whole self to work. We understand that healthcare is local and we are better when our people are a reflection of the communities that we serve. Our goal is to encourage people to pursue all opportunities regardless of their age, color, national origin, physical or mental (dis)ability, race, religion, gender, sex, gender identity and/or expression, marital status, veteran status, or any other characteristic protected by federal, state or local law.
At BILL, we believe in empowering the businesses that drive our economy. By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations. We value purpose, drive, and curiosity—and we thrive in a fast-paced, ever-changing environment. BILL builds high performing teams and we seek to hire the best talent for every role.
Role Description The Data Platform team builds and operates BILL’s core data infrastructure, providing the end-to-end foundation that collects, stores, processes, governs, and serves data so every team at BILL can use it. We own the full data stack: inbound and outbound data lake, real-time streaming pipelines, batch processing, and data access layers including a Starburst query engine, Databricks Feature Store, Neo4j Knowledge Graph, and OpenSearch. Some capabilities require real-time access with strict low-latency SLAs. Our charter is to simplify the data landscape and power AI at BILL. To achieve this, we focus on building scalable platform capabilities rather than creating one-off pipelines or analytics reports. Engineers here work at the systems level: designing architectures, incubating new capabilities, setting standards, and enabling the rest of BILL to self-serve. The team sits within the CTO organization. Responsibilities - Operate at the architectural level, driving platform-wide technical decisions and mentoring the team. - Own and evolve critical infrastructure across the full data lifecycle, spanning ingest, store, enrich, query, and serve. - Architect and own critical data platform capabilities end-to-end, from inbound ingestion through data lake storage to downstream serving, including the feature store, query engine, knowledge graph, and search. - Define technical direction for the team’s most complex, cross-cutting problems, such as streaming versus batch trade-offs, schema contracts, data access patterns, and real-time serving architectures. - Drive design and delivery of new capabilities from inception to GA, including reference implementations, SLAs, and clear ownership handoff models. - Establish and maintain architectural standards and engineering patterns adopted across the organization. - Lead multi-phase technical migrations at enterprise scale, including compute platform upgrades, warehouse-to-lake migrations, and infrastructure modernization. - Partner with engineering teams across BILL, such as ML/AI, Risk, Payments, and Analytics, to translate diverse data needs into durable platform solutions. - Mentor senior and staff engineers, actively shaping the technical culture and engineering quality bar of the team. - Own and continuously improve critical production systems with a focus on reliability, cost efficiency, and a self-serve developer experience. Qualifications - Bachelors degree in Computer Science, Engineering, Mathematics, or equivalent work experience. - 8+ years of experience in data engineering, distributed systems, or software engineering with a heavy focus on data infrastructure. - 5+ years of experience specifically on data platform, data infrastructure, or data systems teams, rather than purely analytics or BI roles. - Expertise in distributed systems design for data workloads, including a deep understanding of streaming, batch, and real-time serving trade-offs. - Hands-on experience with event streaming platforms (such as Kafka, Flink, Spark Streaming, or equivalent) and CDC-based ingestion patterns. - Strong proficiency with batch processing stacks (such as Airflow, dbt, Spark/Glue, or equivalent). - Experience with modern open table formats and data lake architectures, including Apache Iceberg, Delta Lake, or equivalent frameworks. - Familiarity with data access and serving layers, including query engines (Trino/Starburst, Presto), feature stores, vector stores, or graph databases. - Expert-level SQL and strong Python skills, backed by solid software engineering fundamentals such as CI/CD, testing, and observability. - Demonstrated experience architecting and operating large-scale, production-grade data platforms. - A proven track record operating as a technical lead, with the ability to drive ambiguous, high-impact projects from first principles to production. - The ability to define technical standards that hold across organizational boundaries rather than just within a single team. Desired Qualifications - 3+ years of experience in financial services, fintech, or SaaS companies. - Experience building self-serve data platforms or developer-facing infrastructure tooling. - Experience working in fintech, financial data, or highly regulated data environments. Benefits - 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP). - HSA & FSA accounts. - Life Insurance, Long & Short-term disability coverage. - Employee Assistance Program (EAP). - 11+ Observed holidays and wellness days and flexible time off. - Employee Stock Purchase Program with employee discounts. - Wellness & Fitness initiatives. - Employee recognition and referral programs. - And much more.
• Design and deploy high-performance, distributed web scrapers using Python and Scrapy • Utilize Browser Scripting tools to navigate, interact with, and extract data from websites • Deploy, scale, and manage scraping workloads on Kubernetes • Define strict JSON Schemas and leverage Pydantic for data validation • Build and optimize search and storage pipelines using Elasticsearch • Architect robust pipeline workflows to manage the end-to-end data lifecycle • Manage complex proxy rotation and session handling to maintain high success rates
A better approach to back, neck, and orthopedic care – all in one convenient place.
Role Description We are looking for a Senior Data Integration Engineer to design, build, and operate API-driven data services that connect operational systems, synchronize data reliably across boundaries, and land curated datasets in Snowflake while working closely with Hasura as the operational database and API layer. You will collaborate closely with Data Engineers and Implementation teams to ensure a seamless end-to-end data flow. Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. - 5+ years of experience in data operations, with a strong background in building and optimizing data delivery pipelines and data management UI. - Knowledge of Python, Typescript, Bash, GraphQL, SQL. - Expertise working with AWS-based solutions. - Expertise working with modern data platforms (e.g., Redshift, Snowflake, etc.) and tools (e.g., AWS S3, lambdas, etc.). - Experience with SCM and CI/CD tools such as GitHub/Github Actions. - Experience with React applications. - Exceptional problem-solving skills and the ability to work collaboratively in a fast-paced, dynamic startup environment. - Excellent communication and project management skills, with a proven track record of delivering projects that provide significant business value. - Solid understanding of networking, authentication, and encryption concepts (SSH, SSL/TLS, key management). - Understanding of data pipelines and orchestration (Airflow, dbt Cloud jobs, or similar). - Familiarity with observability tools (Datadog or equivalent). Requirements - Prior experience with clinical or healthcare data, with a strong understanding of relevant data structures, such as Encounters, Claims, Financial Data, etc. - Stay updated with emerging data technologies and assess their applicability to the organization. - Drive initiatives for continuous improvement in data management processes and tools. - Leverage AI first mentality for optimizing and innovating on data architecture. - Authorized or able to provide required documents to work in United States or Canada. Benefits - Competitive Salary & Equity: We offer competitive pay based on experience and the value you bring to the team. - Equity Options: As part of our commitment to long-term success, we offer equity options, giving you the opportunity to share in the growth of the company. - Health & Wellness: Our health benefits include medical, dental, and vision coverage to keep you and your family healthy. We also offer wellness programs and mental health resources to help you thrive both personally and professionally. - Retirement Plans: We provide a 401(k) plan and Roth options to help you plan for the future and enjoy peace of mind. - Paid Time Off (PTO): Enjoy generous paid time off, including vacation days, holidays, and sick leave, to recharge and maintain a healthy work-life balance. - Fully Remote Work: Work from your home or private office location! We offer a flexible, fully remote work environment that allows you to manage your workspace in a way that best suits your lifestyle. - Professional Development: We encourage continuous learning and growth with access to training, workshops, and Professional Development stipend for further education. - Parental Leave: We offer paid parental leave to support team members through important life moments, whether you're welcoming a child or expanding your family. - Employee Assistance Program (EAP): Access confidential counseling and support for personal or work-related challenges to maintain your well-being along with additional employee assistance programs. Company Description Vori Health is an award-winning, nationwide, virtual-first, musculoskeletal medical practice focused on evidence-based care that treats the whole person. We are on a mission to empower humanity to lead a healthier life.
Role Description As our Senior Data Engineer, you will focus on the acquisition of data, the flow of data through our data lakehouse to our data consumers. You will deliver data products to internal company employees as well as build data products for our external customers. You will help design and implement these systems and will interact with teams on both ends of the data flow. - Define and implement data pipelines using AWS, Fivetran, Snowflake, dbt, and Looker. - Serve as a key technical authority and team influencer, driving the vision, delivery, and continuous improvement of data products. - Translate business strategy into practical data engineering execution. - Lead the team in adopting and utilizing tools such as Fivetran, dbt, Iceberg, Dataiku, and feature flag frameworks. - Capture all important business data from our transactional systems into our data lakehouse. - Act as a crucial link between data engineering, general engineering, data science, and product teams during planning and delivery. - Emphasize clear communication, comprehensive documentation, and empower the team to deliver effectively. - Architect and lead the adoption of data technologies, integrating tools like Fivetran and dbt. - Support IAC strategy for infrastructure and pipeline deployment, ensuring compliance, rollback safety, and peer-reviewed workflows. - Identify best practices for feature flag toggling strategies in critical data pipelines. - Drive internal knowledge sharing and technical writing culture, including mentoring junior staff on documentation standards. - Thrive in collaborative team environments and mentor junior team members by providing guidance, support, and best practices. - Adept at designing scalable architectural solutions while effectively communicating complex concepts to both technical and non-technical audiences. Qualifications - At least 6 years experience in data engineering. - Strong understanding of ETL and data pipeline tools and techniques. - Proficiency in at least one SQL variant (we use MySQL and SnowSQL), and writing performant queries. - Highly collaborative team player with team leadership skills. - Experience with dbt or similar tools for moving, storing, and transforming data. - Strong programming experience, preferably in Python, or other object-oriented language. - Build highly reliable systems. - Strong diagnostic skills. - Strong organizational and communication skills. Requirements - The annual base salary range for this role is $150,000 — $185,000 USD. - Actual compensation may vary based on factors including the candidate's experience, qualifications, skills, and work location. - This position will remain posted until filled. Benefits - Competitive salary and benefits with growth-company options grant. - Fast-paced and professional work culture. - Stock options with standard startup vesting - 1 year cliff; 4 years total. - $50 monthly communication expense stipend to go towards your phone/internet bill. - $250 stipend to enhance your WFH setup. - Reimbursement for peripheral equipment: monitor (up to $400), keyboard and mouse (up to $200). - Premium medical benefits including vision and dental (100% coverage for employees). - Company-sponsored life and disability insurance. - Paid parental bonding leave. - Paid sick leave, jury duty, bereavement. - 401k plan. - Flexible Time Off (our team members typically take off ~3-4 weeks per year). - Volunteer Time Off. - 13 scheduled holidays.
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SQL, Python, dbt, Airflow, Snowflake, AWS
