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Data Engineer Data Analyst Jobs in Halethorpe, MD

Data Engineer

Baltimore, MD · On-site

$113K - $136K/yr

Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower ...

Data Engineer

Columbia, MD · Remote

$100K - $120K/yr

Data Engineer Key Required Skills: Technical experience in information architecture, data ... Position Description · Collaborate with Solution & Enterprise Architects, Business analysts, DBAs ...

Data Engineer

Columbia, MD · Remote

$100K - $120K/yr

Data Engineer Key Required Skills: Technical experience in information architecture, data ... Position Description · Collaborate with Solution & Enterprise Architects, Business analysts, DBAs ...

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 ...

Perform data analysis to identify trends, patterns, and correlations. C. Create data models ... The candidate should be proficient in SQL, Python, R, or related programming Why You Will Love ...

Data Engineer

Fort George G Meade, MD · On-site

$127K - $152K/yr

Core4ce is seeking a Data Engineer to support DCO AI-enabled cyber security analytics at U.S. Cyber Command (USCC). The selected candidate will develop and maintain software systems and data ...

Perform data analysis to identify trends, patterns, and correlations. C. Create data models ... The candidate should be proficient in SQL, Python, R, or related programming Why You Will Love ...

Data Engineer

Fort George G Meade, MD · On-site

$135K - $190K/yr

Core4ce is seeking a Data Engineer to support DCO AI-enabled cyber security analytics at U.S. Cyber Command (USCC). The selected candidate will develop and maintain software systems and data ...

Develop datasets supporting dashboards and analytics. * Troubleshoot data quality and reporting ... Databricks Certified Data Engineer Professional * Databricks Certified Data Analyst Associate

Perform data analysis to identify trends, patterns, and correlations. C. Create data models ... The candidate should be proficient in SQL, Python, R, or related programming Why You Will Love ...

Use sophisticated data analysis methods to support project team in creating deliverable for client * Work with clients to devise methods to optimize data capturing schemes and overall program ...

Perform data analysis to identify trends, patterns, and correlations. C. Create data models ... The candidate should be proficient in SQL, Python, R, or related programming Why You Will Love ...

Lead Data Engineer

Baltimore, MD · On-site

$113K - $136K/yr

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help ... Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities ...

Data Engineer

Aberdeen Proving Ground, MD · Hybrid

$122K - $147K/yr

Data Engineer Location: 6560 Surveillance Loop, Building 6007, Aberdeen Proving Ground, Maryland ... Collaborate with data architects and analysts to understand data requirements and implement ...

Data Engineer

Aberdeen Proving Ground, MD · On-site

$122K - $147K/yr

Data Engineer Location: 6560 Surveillance Loop, Building 6007, Aberdeen Proving Ground, Maryland ... Collaborate with data architects and analysts to understand data requirements and implement ...

Showing results 41-60

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.

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

Data Engineer 
Employment Type: Full-Time, Mid-level
Department: Business Intelligence
 
CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients' toughest challenges.
 
CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities.
 
Skills and attributes for success:
-Complete development efforts across data pipeline to store, manage, store, and provision to data consumers.
-Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices.
-Write code to ensure the performance and reliability of data extraction and processing.
-Support continuous process automation for data ingest.
-Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing.
-Work with program management and engineers to implement and document complex and evolving requirements.
-Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork.
-Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists.
 
 
Qualifications:
-Must be a US Citizen.
-Must be able to obtain a Public Trust Clearance.
-7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models.
-Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats.
-Proficiency in developing ETL processes, and performing test and validation steps.
-Proficiency to manipulate data (Python, R, SQL, SAS).
-Strong knowledge of big data analysis and storage tools and technologies.
-Strong understanding of the agile principles and ability to apply them.
-Strong understanding of the CI/CD pipelines and ability to apply them.
-Experience with relational database, such as, PostgreSQL.
-Work comfortably in version control systems, such as, Git Repositories.
 
Ideally, you will also have:
-Experience creating and consuming APIs.
-Experience with DHS and knowledge of DHS standards a plus.
-Candidates will be given special consideration for extensive experience with Python.
-Ability to develop visualizations utilizing Tableau or PowerBI.
-Experience in developing Shell scripts on Linux.
-Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions.
-Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. 
 
Our Commitment:
Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems.
 
For the past seven years, we've been growing our government-contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work.
 
Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come.
 
We care about our employees. Therefore, we offer a comprehensive benefits package:
-Health, Dental, and Vision
-Life Insurance
-401k
-Flexible Spending Account (Health, Dependent Care, and Commuter)
-Paid Time Off and Observance of State/Federal Holidays
 
Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
 
Join our team and become part of government innovation!
 
Explore additional job opportunities with CGS on our Job Board:
https://cgsfederal.com/join-our-team/
 
For more information about CGS please visit: https://www.cgsfederal.com or contact:
Email: [email protected]
 
#CJ
$112,597.33 - $152,810.66 a year
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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