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Remote Python Sql Jobs in Virginia (NOW HIRING)

Axiom Path

Lead Data Engineer 3624301

Richmond, VA · Remote

$114K - $187K/yr

What's In Store For You This is a full-time, remote opportunity for candidates residing in approved ... Lead the design, development, and operation of scalable ETL and ELT pipelines using Python, SQL ...

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 ...

Gnw

Lead Data Engineer

Richmond, VA · On-site +1

$101K - $133K/yr

POSITION TITLE Lead Data Engineer POSITION LOCATION This position is available to remote applicants ... 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 ...

Genworth Financial

Lead Data Engineer

Richmond, VA · On-site +1

$101K - $133K/yr

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

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 88% Full Time, 7% Part Time, 2% Temporary, and 3% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution.
Lead Data Engineer 3624301

Lead Data Engineer 3624301

Axiom Path

Richmond, VA • Remote

$114K - $187K/yr

Full-time

Medical, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Be Part Of A High-Performing Team

Join a mission-driven data and machine learning organization building modern technology that improves how individuals and families navigate aging and long-term care. This team combines the agility and innovation of a growing digital business with the resources and industry knowledge of an established financial services organization.

The environment brings together data engineers, analysts, data scientists, ML/AI engineers, product teams, and platform specialists. The Lead Data Engineer will help establish the reliable, governed, and scalable data foundation required to support analytics, machine learning, operational reporting, and customer-facing products.

What's In Store For You

This is a full-time, remote opportunity for candidates residing in approved Eastern Time states or Washington, DC.

The role offers the opportunity to lead technical delivery across a modern Databricks Lakehouse platform while remaining closely involved in architecture, pipeline development, modeling, governance, quality, and optimization.

Employees have access to comprehensive healthcare coverage, multiple retirement savings options, an employer-funded retirement account feature, generous paid time off, paid holidays, volunteer time, paid family leave, disability and life insurance, tuition reimbursement, student loan repayment support, professional training and certification assistance, wellness programs, caregiver resources, and mental health support.

How You Will Make An Impact

  • Lead the design, development, and operation of scalable ETL and ELT pipelines using Python, SQL, Spark, and Databricks.
  • Create reusable ingestion frameworks for batch and streaming data sources.
  • Own production reliability by ensuring pipelines meet service levels, quality expectations, and operational standards.
  • Design robust Lakehouse data models across raw, curated, semantic, and domain-oriented layers using Delta Lake.
  • Build dimensional models, star schemas, analytics-ready datasets, and reusable data products for analytics and machine learning.
  • Establish engineering standards for schema design, metadata, documentation, lineage, testing, and maintainability.
  • Implement automated validation, anomaly detection, freshness monitoring, completeness checks, alerting, and observability.
  • Partner with analysts to define business KPIs and deliver trusted curated datasets.
  • Collaborate with data scientists and ML engineers to build reusable feature pipelines and ML-ready data assets.
  • Optimize Spark jobs, SQL queries, cluster configurations, orchestration, compute usage, and storage patterns.
  • Apply strong practices for Unity Catalog, RBAC, data privacy, PII handling, governance, and regulatory documentation.
  • Reduce technical debt, simplify complex pipelines, mentor engineers, and help raise the organization’s engineering standards.

Do you have the expertise to lead modern Lakehouse data engineering?

  • 7+ years of experience in data engineering or a closely related technical discipline.
  • Advanced hands-on experience with Python, SQL, Spark, and distributed data processing.
  • Strong production experience with Databricks, Delta Lake, and Lakehouse architecture.
  • Demonstrated ownership of scalable ETL/ELT pipelines from design through production support.
  • Deep understanding of dimensional modeling, star schemas, semantic layers, and domain-oriented datasets.
  • Experience implementing automated testing, validation, monitoring, alerting, observability, and SLA controls.
  • Experience supporting analytics, machine learning, data science, and product teams.
  • Knowledge of Unity Catalog, RBAC, PII protection, data privacy, metadata, and lineage.
  • Ability to improve performance and cost through Spark, SQL, cluster, compute, and storage optimization.
  • Proven ability to establish technical standards, mentor engineers, communicate architectural decisions, and lead through influence.
  • Must reside in an approved Eastern Time state or Washington, DC.
  • Must not require current or future employment visa sponsorship.