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Remote Python Sql Jobs in Virginia (NOW HIRING)

Axiom Path

Senior Data Engineer #3624301

Richmond, VA · Remote

$114K - $227K/yr

This is a full-time opportunity available to remote applicants residing in Eastern Standard Time ... Develop reliable ingestion frameworks for batch and streaming data sources using Python, SQL, Spark ...

TEKsystems

Data Engineer

Richmond, VA · Remote

$60 - $80/hr

Python & SQL: Strong hands-on experience building, deploying, and maintaining scalable data ... remote position. Application Deadline This position is anticipated to close on Jul 10, 2026. About ...

Gnw

Senior Data Engineer

Richmond, VA · On-site +1

$104K - $142K/yr

POSITION TITLE Senior Data Engineer POSITION LOCATION This position is available to remote ... Design, build, and maintain scalable ETL/ELT pipelines using Spark, Python, SQL, and Databricks.

Genworth Financial

Senior Data Engineer

Richmond, VA · On-site +1

$104K - $142K/yr

POSITION TITLE Senior Data Engineer POSITION LOCATION This position is available to remote ... Design, build, and maintain scalable ETL/ELT pipelines using Spark, Python, SQL, and Databricks.

CareScout

Senior Data Engineer

Richmond, VA · On-site +1

$104K - $142K/yr

POSITION TITLE Senior Data Engineer POSITION LOCATION This position is available to remote ... Design, build, and maintain scalable ETL/ELT pipelines using Spark, Python, SQL, and Databricks.

ManTech

Python Software Developer

Herndon, VA · Remote

$141K - $236K/yr

Experience in SQL and database management * Experience in front-end / full stack development ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

ManTech

Python Software Developer

Herndon, VA · Remote

$114K - $190K/yr

Experience in SQL and database management * Experience in front-end / full stack development ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

ManTech

Senior Python Developer

Herndon, VA · Remote

$141K - $236K/yr

Experience in SQL and database management * Experience in front-end / full stack development ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

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Remote Python Sql information

What are some common challenges faced by Remote Python & SQL Developers, and how can they be addressed?

Remote Python & SQL Developers often face challenges such as effective communication with distributed teams, managing overlapping project priorities, and ensuring data security when accessing databases remotely. To address these, it's crucial to establish clear communication routines (like daily stand-ups), use collaborative tools (such as Slack or Jira), and strictly follow company protocols for secure database access. Proactively seeking feedback and documenting code also help maintain project alignment and code quality within a remote environment.

What is a Remote Python SQL job?

A Remote Python SQL job involves working with databases and backend systems using the Python programming language and SQL (Structured Query Language) while working from a location outside of a traditional office. Professionals in this role typically write code to query, manipulate, and analyze data stored in databases, automate data workflows, and build data-driven applications. Remote arrangements allow these tasks to be completed from anywhere with a stable internet connection, offering flexibility while still requiring strong technical and communication skills.

What is the difference between Remote Python Sql vs Remote Data Analyst?

AspectRemote Python SqlRemote Data Analyst
Required SkillsPython, SQL, data manipulationData visualization, SQL, statistical analysis
Work EnvironmentRemote, programming-focusedRemote, analysis and reporting
Industry UsageTech, finance, data-driven companiesBusiness, marketing, finance
CertificationsPython, SQL certificationsData analysis, Excel, Tableau certifications

Remote Python Sql roles focus on programming, data extraction, and database management, while Remote Data Analyst positions emphasize interpreting data, creating reports, and visualizations. Both roles often require SQL skills and can be found in similar industries, but they serve different functions within data teams.

What are the key skills and qualifications needed to thrive as a Remote Python SQL Developer, and why are they important?

To thrive as a Remote Python SQL Developer, you need strong proficiency in Python programming and SQL database management, typically backed by a degree in computer science or related experience. Familiarity with tools like PostgreSQL, MySQL, version control systems (e.g., Git), and cloud platforms is commonly required, along with any relevant certifications. Excellent problem-solving, self-motivation, and effective remote communication skills set standout professionals apart in this role. These skills are crucial for efficiently building and maintaining robust data-driven applications while collaborating seamlessly in distributed teams.
What are the most commonly searched types of Python Sql jobs in Virginia? The most popular types of Python Sql jobs in Virginia are:
What are popular job titles related to Remote Python Sql jobs in Virginia? For Remote Python Sql jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Python Sql jobs in Virginia look for? The top searched job categories for Remote Python Sql jobs in Virginia are:
What cities in Virginia are hiring for Remote Python Sql jobs? Cities in Virginia with the most Remote Python Sql job openings:
Remote Python Sql jobs near you
Infographic showing various Remote Python Sql job openings in Virginia as of July 2026, with employment types broken down into 40% Full Time, and 60% Contract. Highlights an 100% Remote job distribution.
Senior Data Engineer #3624301

Senior Data Engineer #3624301

Axiom Path

Richmond, VA • Remote

$114K - $227K/yr

Full-time

Medical, Retirement, PTO

Posted 12 days ago

Job description

Be Part Of A High-Performing Team:

Join a mission-driven technology organization focused on improving the aging and long-term care experience through modern data, analytics, machine learning, and digital product innovation. This team is building scalable solutions that help individuals, families, and caregivers navigate a historically fragmented care ecosystem with greater clarity, dignity, and support. The environment is collaborative, purpose-driven, and highly cross-functional, bringing together data engineers, analysts, data scientists, ML/AI engineers, and product teams to create reliable data foundations that power meaningful business and customer outcomes.

What's In Store For You:

This is a full-time opportunity available to remote applicants residing in Eastern Standard Time states. The role offers the chance to work on modern data architecture, Lakehouse engineering, machine learning enablement, and production-grade analytics infrastructure. The organization provides a strong employee support model, including healthcare coverage, retirement programs, paid time off, paid family leave, tuition reimbursement, student loan repayment, training and certification support, wellness resources, caregiver support, and mental health services.

How You Will Make An Impact

  • Design, build, and maintain scalable ETL/ELT pipelines that support analytics, machine learning, and operational data needs.
  • Develop reliable ingestion frameworks for batch and streaming data sources using Python, SQL, Spark, and Databricks.
  • Build and maintain data models across raw, curated, semantic, and domain-specific layers using Delta Lake.
  • Create dimensional models, star schemas, and curated datasets that enable business KPI tracking, reporting, and ML use cases.
  • Improve pipeline quality through automated testing, data validation, anomaly detection, documentation, monitoring, and alerting.
  • Partner with analysts, data scientists, ML engineers, product teams, and platform engineers to deliver reusable, high-quality data assets.
  • Optimize Spark jobs, SQL queries, cluster configurations, and storage patterns for performance, reliability, and cost efficiency.
  • Apply strong data governance, RBAC, privacy, PII handling, and Unity Catalog best practices across the data ecosystem.
  • Help raise engineering standards by reducing technical debt, improving repeatability, and mentoring others on modern data engineering practices.

Do you bring proven success in modern data engineering and Lakehouse architecture?

  • 7+ years of experience in data engineering, analytics engineering, or related data-focused engineering roles.
  • Strong hands-on experience with Python, SQL, Spark, and distributed data processing.
  • Production experience with Databricks, Delta Lake, and Lakehouse architecture.
  • Deep understanding of ETL/ELT design, data modeling, data quality, and scalable pipeline development.
  • Experience building production-grade data pipelines with reliability, monitoring, SLAs, and operational support in mind.
  • Ability to design curated datasets, dimensional models, semantic layers, and analytics-ready data products.
  • Experience supporting analytics, machine learning, data science, and product stakeholders.
  • Strong communication skills with the ability to clarify business/data requirements and explain technical decisions clearly.
  • Comfort working in a collaborative, fast-moving, purpose-driven environment.
  • Must reside in an eligible Eastern Standard Time state.
  • This role is not eligible for employment visa sponsorship