1

Data Engineer Jobs in California, MD (NOW HIRING)

Data Engineer

California, MD ยท On-site +1

$137K/yr

Data Engineer Job Duties: * Discover hidden information using massive datasets and leveraging advanced data analytics and machine learning techniques to enable data-driven strategic decision-making.

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 ...

Avionics Data Engineer

Patuxent River, MD ยท 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 ...

Data Engineer/ETL Developer

Lexington Park, MD ยท On-site

$90K - $125K/yr

Spalding, a Saalex Company is seeking a Data Engineer/ETL Developer in Lexington Park, MD . Spalding, a Saalex Company is a professional services company delivering cutting-edge solutions to the ...

Data Engineer/ETL Developer

Lexington Park, MD ยท On-site

$90K - $125K/yr

Spalding, a Saalex Company is seeking a Data Engineer/ETL Developer in Lexington Park, MD . Spalding, a Saalex Company is a professional services company delivering cutting-edge solutions to the ...

Spalding, a Saalex Company is seeking a Data Engineer/ETL Developer in Lexington Park, MD . Spalding, a Saalex Company is a professional services company delivering cutting-edge solutions to the ...

Data Analytics Engineer

Lexington Park, MD ยท On-site

$111K - $133K/yr

They are seeking a Data Analytics Engineer to work with operational and customer stakeholders to acquire, process, and analyze diverse data sources for mission-critical projects. Responsibilities ...

Data Analytics Engineer

Lexington Park, MD ยท 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 ...

Data Analytics Engineer

Lexington Park, MD ยท 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 ...

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 ...

next page

Showing results 1-20

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 Aug 17, 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.

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 is a data engineer?

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.

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:

Infographic showing various Data Engineer job openings in California, MD as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $124,306 per year, or $59.8 per hour.

Data Engineer

Manulife

California, MD โ€ข On-site, Remote

$137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Employer: John Hancock Life Insurance Company (USA)
Job Site: 200 Berkeley Street, Boston, MA 02116
Job Title: Data Engineer

Job Duties:

  • Discover hidden information using massive datasets and leveraging advanced data analytics and machine learning techniques to enable data-driven strategic decision-making. Duties include:
  • Design, build and maintain data pipelines for ETL/ELT processes for large scale datasets;
  • Migrate legacy data architectures to Azure and AWS leveraging cloud-native services for scalability;
  • Develop and optimize Spark based pipelines using databricks for large-scale data processing and Synpse for creating data pipelines;
  • Automate complex workflows for data ingestion, transformation, and delivery using Airflow;
  • Create interactive dashboards to communicate insights to business stakeholders;
  • Design and manage relational MSSQL, PostgreSQL, and NoSQL (MongoDB) databases for diverse use cases;
  • Implement secure and compliant pipelines including governance policies for sensitive data;
  • Integrate various data sources to streamline data processing and analysis using REST APIs;
  • Collaborate with data scientists to build pipelines for training and deploying machine learning models;
  • Work with cross-functional teams to gather requirements and deliver tailored data solutions;
  • Set up monitoring and alerting systems to ensure data pipeline health and reliability;
  • Use Docker to built and deploy applications and ensure consistency across development and production environments; and
  • Identify inefficiencies in existing workflows and implement process improvements to reduce costs.

This position is eligible for fully remote work from any location in the United States.

Minimum Requirements:
Master's degree or foreign equivalent in Computer Science, Electrical Engineering, Electronic Engineering, Information Systems or related field and 3 years of experience with Python, SQL, and ETL processes.

Experience must include the following, which may have been gained concurrently:

1) 3 years of experience with cloud platforms including AWS and Azure.
2) 3 years of experience using distributed computing frameworks including Spark, Databricks and Synapse.
3) 2 years of experience with orchestration tools including Apache Airflow.
4) 3 years of experience with data visualization tools including Power BI and Tableau.
5) 3 years of experience with database systems including SQL and NoSQL.
6) 3 years of experience using data governance, compliance, and security practices.
7) 3 years of experience with REST APIs and integration frameworks.
8) 3 years of machine learning and predictive modeling experience.
9) 3 years of experience with monitoring tools including Splunk and CloudWatch.
10) 2 years of experience using DevOps practices and containerization.

Salary: $137,946 per year

The role being advertised is an existing vacancy.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com.

Referenced Salary Location

USA, California - Full Time Remote

Working Arrangement

Remote

Salary range is expected to be between

$90,160.00 USD - $167,440.00 USD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.

Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.

Know Your Rights I Family & Medical Leave I Employee Polygraph Protection I Right to Work I E-Verify

Company: John Hancock Life Insurance Company (U.S.A.)