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Data Engineer Data Analyst Jobs in Halethorpe, MD

SIMILAR CAREER TITLES Business Analyst, Data Scientist, Data Engineer, Financial Analyst, Marketing Analyst, Operations Analyst, Reporting Analyst, Insights Analyst, Research Analyst, Quantitative ...

Data Engineer

Silver Spring, MD

$118K - $142K/yr

The Data Engineer will partner with other Data Engineers to evaluate and prototype new tools and ... Design and optimize analytical data platforms using Amazon Athena, Trino, Hive, OpenSearch, and ...

As a Data Analyst on the contract's Enterprise Architecture Team, you will collaborate closely with engineering teams, government product and process owners, and stakeholders to support engineering ...

Data Modeler

Annapolis Junction, MD ยท On-site

$56 - $72.50/hr

You will work closely with data engineers, analysts, and other stakeholders to ensure data is organized and accessible across multiple platforms and systems. If you have a passion for data ...

As a Data Analyst on the contract's Enterprise Architecture Team, you will collaborate closely with engineering teams, government product and process owners, and stakeholders to support engineering ...

Lead data warehousing efforts and performing data analysis as needed across sets of transactional ... Basic experience in programming (R, Python, Java, Javascript, etc.) Experience working with ...

Data Engineer (Remote)

Baltimore, MD ยท Remote

$117K - $140K/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

Baltimore, MD ยท On-site +1

$126K - $142K/yr

Index Analytics, LLC, is a rapidly growing Baltimore-based small business providing health related ... Job Overview As a Data Engineer in this role, you will apply advanced data engineering principles ...

Data Engineer II

Baltimore, MD ยท Remote

$113K - $136K/yr

As a Data Engineer II, you will help build the pipelines, processes, and systems that ensure ... Perform data integration, transformation, and cleansing to support reporting, analytics, and ...

Data Engineer

Baltimore, MD

$113K - $136K/yr

Work cross-functionally with engineers, analysts, and stakeholders to understand requirements and deliver data solutions that support sprint-based delivery. * Support pod-level delivery by producing ...

Data Engineer

Baltimore, MD ยท Remote

$116K - $139K/yr

Index Analytics, LLC, is a rapidly growing Baltimore-based small business providing health related ... Job Overview As a Data Engineer in this role, you will apply advanced data engineering principles ...

Data Analyst

Annapolis, MD ยท On-site

$130K - $190K/yr

Worker Type Regular Summary The Data Analyst will support to conceive, develop, mature, maintain ... Bachelor's degree in a technical field (Computer Science, Data Science, Mathematics, Engineering ...

Worker Type Regular Summary The Data Analyst will support to conceive, develop, mature, maintain ... Bachelor's degree in a technical field (Computer Science, Data Science, Mathematics, Engineering ...

Lead Data Engineer

Baltimore, MD ยท On-site +1

$113K - $136K/yr

Lead the design, development, and maintenance of Enterprise data platform and solutions, analytics ... Collaborate with data engineers, business partners, product owners, and other stakeholders to ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Data Analyst Retail & E-Commerce (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Analyst Retail & E-Commerce to support reporting and analytics for retail ...

Showing results 21-40

Data Engineer Data Analyst information

See Halethorpe, MD salary details

$33.2K

$80.7K

$132.8K

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

As of Aug 11, 2026, the average yearly pay for data engineer data analyst in Halethorpe, MD is $80,715.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $94,700.00 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 job categories do people searching Data Engineer Data Analyst jobs in Halethorpe, MD look for? The top searched job categories for Data Engineer Data Analyst jobs in Halethorpe, MD are:
What cities near Halethorpe, MD are hiring for Data Engineer Data Analyst jobs? Cities near Halethorpe, MD with the most Data Engineer Data Analyst job openings:
Infographic showing various Data Engineer Data Analyst job openings in Halethorpe, MD as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 77% In-person, 9% Hybrid, and 14% Remote job distribution, with an average salary of $80,715 per year, or $38.8 per hour.

Data Engineer / Senior Data Engineer (Cloud & Modern Data Platforms)

Reef Point Group

Annapolis, MD โ€ข On-site

$113K - $136K/yr

Full-time

Posted 10 days ago


Job description

Description:

ReefPoint Group (RPG) is a mission-driven consulting firm dedicated to improving outcomes for Veterans, service members, and federal agencies through data, technology, and strategic consulting. We partner with our clients to solve complex operational challenges, modernize enterprise systems, and transform data into actionable insights that drive mission success.


At RPG, we value curiosity, collaboration, integrity, and innovation. Our teams work alongside clients to deliver practical solutions that make a measurable impact while fostering a culture of continuous learning and professional growth.


Position Overview

ReefPoint Group is seeking Data Engineers and Senior Data Engineers to join our growing Data & AI practice. This posting is part of our Data Engineering Talent Community, supporting multiple current and upcoming opportunities across our federal client portfolio.


We're looking for engineers who enjoy solving complex data challenges, building scalable cloud solutions, and enabling advanced analytics and AI capabilities. This is an opportunity to work with modern data platforms, collaborate with multidisciplinary teams, and help organizations unlock the full value of their data.


Successful candidates will have experience designing, building, and maintaining modern data solutions using cloud platforms and enterprise data technologies. Experience with platforms such as Palantir Foundry, Databricks, Microsoft Fabric, Snowflake, Azure, AWS, or similar technologies is highly desirable.


What You'll Do

  • Design, develop, and maintain scalable data pipelines and data integration solutions.
  • Build and optimize cloud-based data platforms that support analytics, reporting, and operational decision-making.
  • Integrate, transform, and operationalize structured and unstructured data from multiple enterprise sources.
  • Develop ETL/ELT processes and automated data ingestion workflows.
  • Support data modeling, data mapping, and enterprise data integration initiatives.
  • Improve data quality, reliability, governance, and accessibility across enterprise environments.
  • Collaborate with architects, analysts, product teams, and client stakeholders to understand business and mission requirements.
  • Enable advanced analytics, artificial intelligence, and machine learning capabilities through modern data engineering practices.
  • Participate in solution design, technical troubleshooting, and continuous platform improvement.
  • Develop automated monitoring, validation, and quality control processes for enterprise data solutions.
  • Contribute to engineering best practices, code reviews, and continuous integration/continuous deployment (CI/CD) activities.
  • Stay current on emerging cloud technologies, data engineering practices, and industry trends.
Requirements:
  • Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related technical field
  • Minimum of 3 years of professional experience in data engineering, software engineering, data integration, or related technical roles.
  • Experience developing and maintaining data pipelines, ETL/ELT processes, or data ingestion frameworks.
  • Experience working with one or more cloud platforms (Azure, AWS, or Google Cloud) or modern data platforms.
  • Strong understanding of data integration, data lifecycle management, and enterprise data architecture principles.
  • Experience collaborating with technical and non-technical stakeholders in fast-paced, client-focused environments.
  • Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

Experience with one or more of the following technologies or disciplines is highly desired


Modern Data Platforms

  • Palantir Foundry
  • Databricks
  • Microsoft Fabric
  • Snowflake
  • Azure Synapse Analytics

Cloud Technologies

  • Microsoft Azure
  • Amazon Web Services (AWS)
  • Google Cloud Platform (GCP)

Programming & Data Engineering

  • Python
  • SQL
  • Spark
  • Scala
  • Azure Data Factory
  • Apache Kafka
  • APIs and data integration services

Modern Delivery Practices

  • Agile development
  • DevSecOps
  • CI/CD pipelines
  • Infrastructure as Code

Additional Experience

  • AI/ML data pipelines and model support
  • Data governance and metadata management
  • Data modeling or enterprise architecture
  • Federal consulting experience
  • Experience supporting VA, DoD, DHA, CMS, HHS, or other federal agencies
  • Active Public Trust or Security Clearance (or ability to obtain one)

Why Join ReefPoint Group?

At ReefPoint Group, you'll have the opportunity to work on meaningful projects that support critical federal missions while collaborating with talented consultants, engineers, and data professionals. We invest in our people, encourage innovation, and provide opportunities to grow your technical expertise across cloud technologies, artificial intelligence, data engineering, and enterprise modernization.


If you're passionate about solving complex problems, building modern data solutions, and making a lasting impact, we'd love to hear from you.


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