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Remote Python Sql Jobs in Baltimore, MD (NOW HIRING)

Data Engineer (Remote)

Baltimore, MD · Remote

$117K - $140K/yr

Develop and maintain efficient, testable, and reusable data processing scripts using Python, SQL, and cloud-native tools. * Collaborate with DevOps, analysts, and application developers to align ...

Technical : 5-8 years of experience in Data Engineering with expert proficiency in Python, SQL, and ... Open to Remote. Local preferred at client site in Crystal City VA or Aberdeen MD. Target salary ...

Senior Data Engineer

Columbia, MD · Remote

$105K - $142K/yr

Fully Remote, United States Position Type: Full-Time Clearance: U.S. citizenship is required. The ... Python, SQL, and related technologies. * Develop enterprise data models and layered data ...

Senior Data Engineer

Columbia, MD · Remote

$105K - $142K/yr

Location:Fully Remote, United States Position Type: Full-Time Clearance: U.S. citizenship is ... Python, SQL, and related technologies. * Develop enterprise data models and layered data ...

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

Experience with Python, SQL, Scala, or Java * Experience with UNIX/Linux, including basic commands ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

Experience with Python, SQL, Scala, or Java * Experience with UNIX and Linux, including basic ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured ...

Senior Data Engineer (Remote)

Baltimore, MD · Remote

$105K - $143K/yr

Extensive Experience with SQL: Advanced proficiency in writing complex queries, optimizing ... Demonstrated ability to automate data workflows using Python, PowerShell, or similar scripting ...

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Remote Python Sql information

See Baltimore, MD salary details

$13

$58

$85

How much do remote python sql jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for remote python sql in Baltimore, MD is $58.25, according to ZipRecruiter salary data. Most workers in this role earn between $48.03 and $66.15 per hour, depending on experience, location, and employer.

What is a remote Python SQL developer?

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 skills and qualifications are needed to thrive as a remote Python SQL developer?

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 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 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 popular job titles related to Remote Python Sql jobs in Baltimore, MD?

For Remote Python Sql jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Remote Python Sql jobs in Baltimore, MD look for?

The top searched job categories for Remote Python Sql jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Remote Python Sql jobs?

Cities near Baltimore, MD with the most Remote Python Sql job openings:

Infographic showing various Remote Python Sql job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 8% Part Time, and 6% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $121,157 per year, or $58.2 per hour.

Data Engineer (Remote)

Magpie Health Analytics

Baltimore, MD • Remote

$117K - $140K/yr

Full-time

Posted 21 days ago


Job description

Position Purpose:

We are seeking a Data Engineer to support the development of cloud-native data solutions that improve operational efficiency, support regulatory reporting, and drive actionable insight for our commercial and government healthcare clients. This role is responsible for building, maintaining, and optimizing scalable data pipelines and validation workflows across complex datasetsenabling downstream analytics, application logic, and system modernization initiatives.

Primary Duties & Responsibilities:

  • Design, develop, and maintain ETL/ELT pipelines using structured and semi-structured data from relational databases, flat files, APIs, and cloud data sources.
  • Collaborate with backend and architecture teams to define data transformation flows aligned with dashboard and reporting application needs.
  • Design and optimize data schemas to ensure performance, integrity, and compatibility with reporting requirements.
  • Develop and maintain efficient, testable, and reusable data processing scripts using Python, SQL, and cloud-native tools.
  • Collaborate with DevOps, analysts, and application developers to align pipelines with system architecture, storage strategy, and reporting needs.
  • Implement data quality and validation checks and document data lineage and pipeline logic for audit and reuse.
  • Troubleshoot performance issues in data jobs and support data pipeline operations across environments (DEV, VAL, PROD).
  • Contribute CI/CD workflows and automation strategies to promote rapid iteration and secure deployment of data services.
  • Assist in developing or maintaining data documentation, including metadata, data dictionaries, and technical user guides.
  • Stay up to date with emerging technologies, techniques, and trends to inform product development and decision-making.

Minimum Qualifications:

  • Bachelor's degree in computer science, engineering, statistics, or related field.
  • 4+ years of experience in a data engineering, data pipeline, or ETL/ELT development role.
  • Strong proficiency in SQL, data transformation logic, and performance tuning for large datasets.
  • Proficiency with Python and libraries such as Pandas, PySpark, or Numpy.
  • Experience with modern version control and CI/CD practices (e.g., GitHub Actions, Jenkins).
  • Understanding of distributed computing solutions for data processing (e.g. AWS Glue, AWS EMR, Apache Hadoop, Apache Spark)
  • Experience with data pipeline orchestration frameworks or serverless tools (e.g., AWS StepFunctions, AWS Glue Workflows, and/or AWS Lambda).

Preferred Qualifications:

  • Experience developing solutions in AWS cloud environments (S3, Lambda, Aurora, SNS, CloudFormation/CDK).
  • Experience with Snowflake, Amazon RDS, or other cloud-native data warehouses.
  • Familiarity with modern data transformation tools (dbt, Dataform, or equivalent) and best practices for modular, tested SQL transformations within an ELT architecture.
  • Experience supporting healthcare data systems or CMS data environments
  • AWS certifications are a plus.