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Data Engineer Data Analyst Jobs in Baltimore, MD

Data Strategy-Manager

Baltimore, MD · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Big Data Engineer

Annapolis Junction, MD · On-site

$57 - $75.25/hr

Big Data Engineer LOCATION Annapolis Junction, MD 20701 CLEARANCE TS/SCI Full Poly (Please note ... and analytics needs. You will work closely with cross-functional teams to handle large-scale ...

Data Warehouse Engineer LOCATION Annapolis Junction, MD 20701 CLEARANCE TS/SCI Full Poly (Please ... analytics and reporting. You will be responsible for implementing ETL processes, maintaining data ...

Data Governance- Manager

Baltimore, MD · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Data Engineer

Columbia, MD · On-site

$111K - $133K/yr

As a Data Engineer/Analyst, you will work closely with Medisolv clients to extract, transform and load clinical, financial and administrative healthcare data and health plan data to feed our suite of ...

Data Engineer

Baltimore, MD · On-site

$113K - $136K/yr

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 ...

Data Engineer

Columbia, MD · On-site

$170K/yr

Support government data acquisition, analysis, and sharing efforts. * Focus on software ... Software development/engineering, data engineering, database engineering, etc. (+4 additional years ...

Data Engineer

Annapolis Junction, MD · On-site

$117K - $140K/yr

GIGATEC Engineering is seeking a Data Engineer to orchestrate complex operational data flows. The ... data analysis on raw data. Responsibilities : • orchestrate complex operational data flows ...

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Data Engineer Data Analyst information

See Baltimore, MD salary details

$33.8K

$82.1K

$135.1K

How much do data engineer data analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data engineer data analyst in Baltimore, MD is $82,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,400.00 per year, depending on experience, location, and employer.

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

What are the key skills and qualifications needed to thrive as a data engineer data analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

What are popular job titles related to Data Engineer Data Analyst jobs in Baltimore, MD? For Data Engineer Data Analyst jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data Analyst jobs in Baltimore, MD look for? The top searched job categories for Data Engineer Data Analyst jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Data Engineer Data Analyst jobs? Cities near Baltimore, MD with the most Data Engineer Data Analyst job openings:
Infographic showing various Data Engineer Data Analyst job openings in Baltimore, MD as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 80% In-person, 7% Hybrid, and 13% Remote job distribution, with an average salary of $82,114 per year, or $39.5 per hour.

Software Engineer / Data Analyst

Staffed4U

Annapolis Junction, MD

$168K - $178K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago


Job description

Software Engineer / Data Analyst

Location: Annapolis Junction, MD
Clearance: TS/SCI with Polygraph required
Work Type:
On-site
Salary: $168,000-$178,000

Position Overview

We are seeking a Software Engineer / Data Analyst to support the design, development, integration, and deployment of data-driven software solutions. The successful candidate will work within a multidisciplinary technical team to develop applications, automate workflows, integrate artificial intelligence and machine learning technologies, and deliver innovative solutions that address complex business and operational challenges.

This position offers the opportunity to work with emerging AI/ML technologies, modern software development frameworks, and large-scale data environments while supporting the full software development lifecycle from requirements gathering through deployment and sustainment.


Key Responsibilities
  • Collaborate with stakeholders to gather, analyze, and document business and technical requirements.
  • Evaluate opportunities to apply artificial intelligence and machine learning technologies to improve processes and decision-making.
  • Design, develop, test, and maintain software applications and analytical solutions.
  • Develop automated analysis and data processing workflows.
  • Integrate new capabilities into existing platforms, applications, and software development frameworks.
  • Build scripts, tools, and user interfaces to transform, normalize, and visualize data from multiple sources.
  • Automate business processes and workflows through the development and integration of new software capabilities.
  • Develop rapid prototypes and proof-of-concept solutions to evaluate emerging technologies and approaches.
  • Support deployment, monitoring, troubleshooting, and maintenance of production software services.
  • Collaborate with software engineers, analysts, and technical stakeholders to deliver scalable and reliable solutions.

Required QualificationsEducation and Experience
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical discipline and three (3) years of relevant experience; OR
  • Four (4) additional years of directly related experience may be substituted for the degree requirement.
Technical Qualifications
  • Experience working with artificial intelligence, machine learning platforms, or data analytics technologies.
  • Production software development experience using Python and/or JavaScript.
  • Experience deploying, supporting, and maintaining production software services.
  • Experience with containerization technologies, including Docker.
  • Experience deploying or managing applications in Kubernetes environments.
  • Experience using version control systems such as Git.
  • Experience working with Continuous Integration and Continuous Deployment (CI/CD) pipelines.
  • Experience using project management and collaboration tools such as Jira and Confluence.

Preferred Qualifications
  • Experience developing applications with AI-assisted development tools or agent-based AI frameworks.
  • Experience programming in additional languages such as Java or C.
  • Experience developing web applications using modern JavaScript frameworks, including React, Vue, or similar technologies.
  • Experience analyzing large-scale operational, security, system, or network datasets.
  • Experience developing data processing, analytics, or automation solutions.
  • Familiarity with cloud-native architectures and distributed systems.
  • Knowledge of machine learning workflows, model deployment, and AI application integration.

Knowledge, Skills, and Abilities
  • Strong software engineering and problem-solving skills.
  • Ability to evaluate complex technical challenges and develop practical solutions.
  • Strong analytical and data interpretation capabilities.
  • Experience working in dynamic environments with evolving requirements.
  • Excellent written and verbal communication skills.
  • Ability to collaborate effectively with multidisciplinary technical teams and stakeholders.
  • Strong organizational skills and attention to detail.
  • Ability to balance multiple priorities while delivering high-quality technical solutions.

Benefits

This position includes a competitive and flexible benefits package, including:

  • Medical
    Employer pays 100% of the monthly premium for the employee and 80% for the employee’s dependents.

  • Health Savings Account (HSA)
    Save for all medical, dental, vision and prescription expenses by contributing pre-tax money to an HSA account. Employer contributes 50% of the annual deductible (prorated to start date).

  • Dental and Vision
    Employer pays 100% of the monthly premium for the employee and 80% for dependents.

  • Life Insurance
    100% company-paid Life and Accidental Death & Dismemberment (AD&D) coverage offered to all full-time employees.

  • Short-Term Disability
    100% company-paid short-term disability. This benefit pays out 60% of earnings, with a $1,500 maximum for up to 12 weeks.

  • Retirement Plan
    Automatic 6% of salary contributed to the company 401(k) plan, fully vested. Employee match encouraged but not required.

  • Paid Time Off (PTO) & Holidays
    5–6 weeks of PTO based on tenure with the company, in addition to 11 paid holidays.

  • Tuition Reimbursement
    $5,000 annually for courses directly related to job role and responsibilities.

  • Training Reimbursement
    Paid training, certification courses, and conferences to support employee career growth.


We do not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.