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Data Solutions Developer Jobs in Baltimore, MD (NOW HIRING)

Magpie Health Analytics

Data Engineer

Baltimore, MD · On-site

$113K - $136K/yr

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 ...

Deloitte

Data Engineer III

Baltimore, MD · On-site

$113K - $136K/yr

Data Engineer III supports the design, development, and deployment of scalable data solutions that enable business insights and operational efficiency. This role works across the data lifecycle to ...

T Rowe Price

AI Data Engineer

Baltimore, MD · Hybrid

$113K - $136K/yr

Troubleshoot and optimize data solutions and platform performance, ensuring scalability and ... Solid understanding of Agile methodologies and DevOps practices. * Excellent communication ...

Orrstown Bank

Data Engineering Team Leader

Towson, MD · On-site

Minimum of seven years of systems engineering experience, with a focus on designing and implementing complex data solutions, preferably in the banking or financial industry. * Strong proficiency in ...

New

Comtech, LLC

Information / Data Architect

Owings Mills, MD

$61.25 - $78.75/hr

SUMMARY We are looking for an information architect to help deliver innovative data solutions and ... Qualifications Degree in technical, engineering or related quantitative field with 10+ years of ...

Kentro

Data Engineer - Hybrid Opportunity

Woodlawn, MD · On-site

$145K - $165K/yr

Document technical solutions and data flows. * Participate in code reviews and knowledge sharing ... Databricks Certified Data Engineer Professional * Databricks Certified Data Analyst Associate

New

Magpie Health Analytics

Data Engineer (Remote)

Baltimore, MD · Remote

$117K - $140K/yr

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 ...

Endictus

Senior Data Scientist

Columbia, MD · On-site

$146K/yr

This role is ideal for an experienced data engineering and AI professional who enjoys building scalable data solutions that power advanced analytics and artificial intelligence capabilities. The ...

Endictus Corp

Senior Data Scientist

Columbia, MD · On-site

$146K/yr

This role is ideal for an experienced data engineering and AI professional who enjoys building scalable data solutions that power advanced analytics and artificial intelligence capabilities. The ...

Global Alliant Inc

API Developer

Baltimore, MD · Remote

API Developer Job Location: Remote Job Duration: Contract Client: Federal Agency Key ... Design, develop, and support front-end, back-end, and data integration solutions. * Build and ...

Global Alliant Inc

API Developer

Baltimore, MD · Remote

Job Title: API Developer JobLocation:Remote Job Duration: Contract Client: Federal Agency Key ... Design, develop, and support front-end, back-end, and data integration solutions. * Build and ...

Global Alliant Inc

API Developer

Baltimore, MD · On-site

API Developer Job Location: Remote Job Duration: Contract Client: Federal Agency Key ... Design, develop, and support front-end, back-end, and data integration solutions. * Build and ...

Global Alliant Inc

API Developer

Baltimore, MD · Remote

Job Title: API Developer JobLocation:Remote Job Duration: Contract Client: Federal Agency Key ... Design, develop, and support front-end, back-end, and data integration solutions. * Build and ...

Endictus

Senior Data Scientist

Columbia, MD

$146K/yr

This role is ideal for an experienced data engineering and AI professional who enjoys building scalable data solutions that power advanced analytics and artificial intelligence capabilities. The ...

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Showing results 41-60

All JobsData Solutions Developer JobsData Solutions Developer Jobs in Baltimore, MD

Data Solutions Developer information

How does a Data Solutions Developer typically collaborate with data analysts and business stakeholders?

As a Data Solutions Developer, collaboration with data analysts and business stakeholders is integral to delivering effective data-driven solutions. You will frequently engage in requirements-gathering sessions to understand business needs, translate those needs into technical specifications, and iterate on data models or pipelines based on feedback. Regular meetings and clear communication are essential to ensure the solutions you develop align with business goals and analytics objectives. Additionally, you may provide technical guidance to analysts on data access or usage and help stakeholders interpret results from the systems you build.

What is the difference between Data Solutions Developer vs Data Engineer?

AspectData Solutions DeveloperData Engineer
Primary FocusDesigning and developing data solutions and applicationsBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsSQL, programming, data modeling, cloud platformsETL, database systems, cloud services, scripting
Work EnvironmentCollaborates with data analysts, developers, and business teamsWorks on data architecture, infrastructure, and backend systems
Industry UsageUsed across industries for data application developmentPrimarily in data-heavy sectors like tech, finance, and healthcare

While both roles involve working with data, Data Solutions Developers focus on creating data applications and solutions, whereas Data Engineers concentrate on building the data infrastructure and pipelines. Understanding these differences helps in choosing the right career path or job role.

What are the key skills and qualifications needed to thrive as a Data Solutions Developer?

To thrive as a Data Solutions Developer, you need strong programming skills (such as Python, SQL, or Java), a solid understanding of data architecture, and typically a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, cloud platforms (like AWS or Azure), and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Analytical thinking, problem-solving, and effective communication help you collaborate with stakeholders and translate business requirements into technical solutions. These skills ensure the delivery of robust, scalable data solutions that drive informed decision-making and business success.

What does a data solutions developer do?

A data solutions developer designs, develops, and implements data management and analytics solutions to help organizations process and interpret large datasets. They often work with programming languages like SQL, Python, or Java, and use tools such as data warehouses and ETL processes to create efficient data workflows. Their role involves collaborating with stakeholders to understand data needs and ensuring solutions are scalable and secure.
What are popular job titles related to Data Solutions Developer jobs in Baltimore, MD? For Data Solutions Developer jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Data Solutions Developer jobs in Baltimore, MD look for? The top searched job categories for Data Solutions Developer jobs in Baltimore, MD are:
Data Solutions Developer jobs near you
Infographic showing various Data Solutions Developer job openings in Baltimore, MD as of August 2026, with employment types broken down into 86% Full Time, 8% Part Time, and 6% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution.

Data Engineer

Magpie Health Analytics

Baltimore, MD • On-site

$113K - $136K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

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.

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