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Remote Sql Data Engineer Jobs in Maryland (NOW HIRING)

Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/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 ...

Data Engineer

Fort George G Meade, MD · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0244467 Location: Fort Meade,MD,US Share job via: Share Data Engineer ... You Have: * 4+ years of experience with Python, PySpark, SQL, and Databricks * 2+ years of ...

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: Yes Job Number: R0243265 Location: Belcamp,MD,US Share job via: Share Additional ... Experience with PySpark and Spark SQL * Experience in creating and maintaining Object Types, Link ...

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: Yes Job Number: R0241931 Location: Belcamp,MD,US Share job via: Share Additional ... Experience with PySpark and Spark SQL * Experience in creating, maintaining Object Types, Link ...

Data Engineer

California, MD · Remote

$137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position is eligible for fully remote work from any location in the United States. Minimum ... SQL, and ETL processes. Experience must include the following, which may have been gained ...

New

Data Engineer

Baltimore, MD · Remote

$116K - $139K/yr

  • Medical

  • Retirement

Microsoft Azure SQL (Intermediate proficiency) * Experience building and deploying data pipelines in production environments * Strong understanding of data engineering principles and data lifecycle ...

Data Engineer

Baltimore, MD · On-site +1

$126K - $142K/yr

  • Medical

  • Retirement

Microsoft Azure SQL (Intermediate proficiency) * Experience building and deploying data pipelines in production environments * Strong understanding of data engineering principles and data lifecycle ...

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

Senior Data Engineer (Remote)

Baltimore, MD · Remote

$105K - $143K/yr

  • Retirement

Extensive Experience with SQL: Advanced proficiency in writing complex queries, optimizing ... Strong Data Engineering Fundamentals: Solid understanding of ETL/ELT processes, data warehousing ...

Data Engineer

Fort George G Meade, MD · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0241771 Location: Fort Meade,MD,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence ...

Lead Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Rowe Price is seeking an experienced Lead Data Engineer to guide the development and deployment of ... Work Flexibility This role is eligible for full time remote work.

Lead Data Engineer

Columbia, MD · On-site +1

$125K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a Lead Data Engineer to support a large-scale healthcare data platform initiative ... Advanced SQL and Python development skills * Experience with ETL/ELT pipeline design and ...

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

  • Medical

  • Retirement

Expert SQL abilities with mastery in complex data transformation patterns. * Deep expertise in data ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

  • Medical

  • Retirement

Expert SQL abilities with mastery in complex data transformation patterns. * Deep expertise in data ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

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Showing results 1-20

Remote Sql Data Engineer information

How does a remote SQL data engineer typically collaborate with cross-functional teams to ensure data integrity and project success?

As a Remote SQL Data Engineer, you will frequently work with data analysts, software developers, and business stakeholders to understand data requirements, design robust database solutions, and troubleshoot data issues. Collaboration often occurs through virtual meetings, project management tools, and shared documentation platforms. Clear communication and proactive updates are essential, as you'll need to ensure that data pipelines are reliable and align with the needs of both technical and non-technical team members. Regular code reviews and knowledge-sharing sessions help maintain data integrity and foster a cohesive remote team environment.

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

AspectRemote Sql Data EngineerRemote Data Analyst
Required SkillsSQL, ETL, data modeling, database managementSQL, data visualization, reporting, statistical analysis
CertificationsSQL certifications, data engineering coursesData analysis certifications, Tableau, Excel
Work EnvironmentData pipelines, database systems, cloud platformsData interpretation, dashboards, business insights
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, consulting

Remote Sql Data Engineers focus on building and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require SQL skills and often overlap in data handling, but differ in their core responsibilities and tools used.

What are the key skills and qualifications needed to thrive as a remote SQL data engineer?

To thrive as a Remote SQL Data Engineer, you need strong proficiency in SQL, data modeling, and ETL processes, often supported by a degree in computer science or a related field. Experience with database management systems like Microsoft SQL Server, PostgreSQL, or MySQL, as well as tools such as SSIS or cloud platforms like AWS and Azure, is typically required. Excellent problem-solving skills, attention to detail, and effective communication are essential soft skills for collaborating remotely and conveying technical information. These abilities are important to ensure accurate data management, seamless data integration, and reliable performance in a distributed work environment.

What does a remote SQL data engineer do?

A Remote SQL Data Engineer designs, develops, and maintains databases and data pipelines using SQL technologies, all while working from a remote location. They are responsible for ensuring data is collected, stored, and retrieved efficiently and securely. Their work often involves writing complex SQL queries, optimizing database performance, and collaborating with other teams to support data-driven decision-making. They may also manage ETL (Extract, Transform, Load) processes and help integrate data from multiple sources to support analytics and business intelligence.

What are the most commonly searched types of Sql Data Engineer jobs in Maryland?

The most popular types of Sql Data Engineer jobs in Maryland are:

What cities in Maryland are hiring for Remote Sql Data Engineer jobs?

Cities in Maryland with the most Remote Sql Data Engineer job openings:

Infographic showing various Remote Sql Data Engineer job openings in Maryland as of August 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 100% Remote job distribution.

Data Engineer

Magpie Health Analytics

Baltimore, MD • On-site, Remote

$113K - $136K/yr

Full-time

Posted 18 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 datasets-enabling 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.