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Sr Data Engineer Jobs in Delaware (NOW HIRING)

Judge Group, Inc.

Sr. Data Engineer

Wilmington, DE · On-site

$102K - $139K/yr

Our client is seeking an experienced Senior Data Engineer to join their growing data team. This is a contract-to-hire opportunity offering the chance to work on critical data initiatives, including ...

Judge Group, Inc.

Data Engineer

Wilmington, DE · On-site

$80 - $85/hr

Role: Senior Data Engineer Duration: 6-12+ months RTH Location: Wilmington, Delaware Interview Process: 2 rounds Must Haves: (Java OR Python), Spark, (AWS OR Databricks), Airflow, Relational ...

RADGOV INC

Data Engineer

Wilmington, DE · On-site

$111K - $133K/yr

Senior Architect 1 (Data Architect / Data Engineer) Interview: In Person Onsite Required Bachelor s degree in Computer Science, Information Technology, Engineering, or a related field (Master s ...

New

Morph Enterprise LLC

Data Architect

Wilmington, DE · On-site

$61.75 - $79.50/hr

Senior Architect 1 (Data Architect / Data Engineer) Support the development and management of the data infrastructure for the DOJ Data Lab Assist in data pipelines and ETL processes Ensure data ...

New

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All JobsSr Data Engineer JobsSr Data Engineer Jobs in Delaware

Sr Data Engineer information

See Delaware salary details

$81.1K

$126.4K

$175.2K

How much do sr data engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for sr data engineer in Delaware is $126,437.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $144,100.00 per year, depending on experience, location, and employer.

What is the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

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

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

How do Sr Data Engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

What are Sr Data Engineers?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.
What are popular job titles related to Sr Data Engineer jobs in Delaware? For Sr Data Engineer jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Sr Data Engineer jobs in Delaware look for? The top searched job categories for Sr Data Engineer jobs in Delaware are:
What cities in Delaware are hiring for Sr Data Engineer jobs? Cities in Delaware with the most Sr Data Engineer job openings:
Sr Data Engineer jobs near you
Infographic showing various Sr Data Engineer job openings in Delaware as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $126,437 per year, or $60.8 per hour.

Sr. Data Engineer

Judge Group, Inc.

Wilmington, DE • On-site

$102K - $139K/yr

Other

Re-posted 16 days ago

Job description

Location: Wilmington, DE Description:
Our client is seeking an experienced Senior Data Engineer to join their growing data team. This is a contract-to-hire opportunity offering the chance to work on critical data initiatives, including governance, data modeling, and advanced analytics.
Key Responsibilities
  • Design, build, and maintain scalable data pipelines and data platforms
  • Perform data analysis, data modeling, and support data governance initiatives
  • Collaborate cross-functionally with engineering, analytics, and business teams
  • Ensure data quality, reliability, and performance across systems
  • Support and enhance data workflows in a cloud-based environment

Required Qualifications (Must Have)
  • Strong programming experience in Java or Python
  • Hands-on expertise with AWS cloud services
  • Experience working with Apache Spark and Databricks
  • Proficiency in workflow orchestration tools such as Apache Airflow
  • Strong experience with Relational Databases (RDBMS)

Preferred Qualifications (Nice to Have)
  • Experience with Snowflake
  • Knowledge of NoSQL databases

Interview Process
  • Two rounds of interviews
  • Onsite participation required

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