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Data Engineer Jobs in California, MD (NOW HIRING)

BC Forward

Data Engineer

California, MD · On-site

$70 - $72/hr

Data Engineer Location: Remote Duration: Temp - 5 months Pay Range: $70/hr. to $72/hr. (W2) Job ID: 406658 About BCforward BCforward is a leading global IT consulting and workforce solutions firm ...

DCS Corporation

Avionics Data Engineer

Patuxent River, MD · On-site

$90K - $140K/yr

Salary: $90,220 - $140,000 DCS is seeking a senior systems engineer with avionics data storage and data processing experience. Essential Job Functions: Operate independently and as part of multiple ...

DCS CORPORATION

Avionics Data Engineer

Patuxent River, MD · On-site

$90K - $140K/yr

Salary: $90,220 - $140,000 DCS is seeking a senior systems engineer with avionics data storage and data processing experience. Essential Job Functions: Operate independently and as part of multiple ...

DCS Corp

Avionics Data Engineer

Lexington Park, MD

$90K - $140K/yr

Salary: $90,220 - $140,000 DCS is seeking a senior systems engineer with avionics data storage and data processing experience. Essential Job Functions: Operate independently and as part of multiple ...

Deckers

Senior Data Product Engineer

California, MD · On-site +1

$135K - $207K/yr

Senior Data Product Engineer Reports to: Director, Data & AI Product Delivery Location: Goleta, CA (remote position) We celebrate diversity-of your background, your experiences and your unique ...

Sabre Systems LLC

Data Analytics Engineer

Lexington Park, MD · On-site

$111K - $133K/yr

Work with data engineers & developers to acquire, process, and format data both at source and post-extraction to create analytical products * Work hand-in-hand with data analysts & data scientists to ...

Sabre Systems LLC

Data Analytics Engineer

Lexington Park, MD

$111K - $133K/yr

Work with data engineers & developers to acquire, process, and format data both at source and post-extraction to create analytical products * Work hand-in-hand with data analysts & data scientists to ...

JET Systems

Be Seen First

DATA SCIENTIST - KNOWLEDGE GRAPHS & AI

Lexington Park, MD · On-site

$120K - $165K/yr

Jaster Engineering Technology (JET) Systems develops, maintains, and innovates systems for specific ... The Data Scientist - Knowledge Graphs and AI supports the design, development, integration, and ...

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All JobsData Engineer JobsData Engineer Jobs in California, MD

Data Engineer information

See California, MD salary details

$42.6K

$124.3K

$170.1K

How much do data engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data engineer in California, MD is $124,306.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,700.00 and $131,800.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in California, MD? The most popular types of Data Engineer jobs in California, MD are:
What are popular job titles related to Data Engineer jobs in California, MD? For Data Engineer jobs in California, MD, the most frequently searched job titles are:
What cities near California, MD are hiring for Data Engineer jobs? Cities near California, MD with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in California, MD as of July 2026, with employment types broken down into 64% Full Time, and 36% Contract. Highlights an 100% In-person job distribution, with an average salary of $124,306 per year, or $59.8 per hour.

Data Engineer

BC Forward

California, MD • On-site

$70 - $72/hr

Other

Posted 16 days ago

Job description

Job Title: Data Engineer Location: Remote Duration: Temp - 5 months Pay Range: $70/hr. to $72/hr. (W2) Job ID: 406658 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Data Engineer to join our dynamic team. The ideal candidate will have strong experience in data engineering, backend development, and automated ETL/ELT pipelines and a proven ability to design and implement scalable, AI-enabled data workflows that support sustainability, compliance, and enterprise reporting. Responsibilities: Design, build, and maintain scalable data pipelines for collection, validation, transformation, and publishing. Automate ETL/ELT workflows and integrate AI-assisted processing where appropriate. Operationalize reliable data flows across internal systems, repositories, and reporting platforms. Collaborate with sustainability, compliance, data, and IT stakeholders to meet reporting and governance needs. Required Skills & Qualifications: Experience in software development for data systems, including data engineering and backend services. Hands-on experience with ETL/ELT pipelines and data automation. Proficiency in Python and SQL. Experience with Databricks, Power BI, and SAP data sources. Strong understanding of data quality, data governance, and enterprise data integration. Preferred Skills: Experience supporting enterprise reporting, analytics, or compliance-related data. Familiarity with AI-assisted data processing or analytics workflows. Experience working in regulated or audit-sensitive environments. Exposure to sustainability, ESG, product compliance, or supply chain data. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.

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