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Insurance Data Engineer Jobs in Severn, MD (NOW HIRING)

Insomniac Design

Senior Data Engineer

Washington, DC · On-site

$115K - $150K/yr

As a Senior Data Engineer , you will architect, build, and optimize scalable data platforms that ... life insurance as well as 401k contribution. Salary range: $115,000 - $150,000. Applicant ...

Insomniac Design

Senior Data Engineer

Washington, DC · On-site

$115K - $150K/yr

As a Senior Data Engineer , you will architect, build, and optimize scalable data platforms that ... life insurance as well as 401k contribution. Salary range: $115,000 - $150,000. Applicant ...

Quevera LLC

Senior Data Engineer

Annapolis Junction, MD · On-site

$166K - $197K/yr

As a Senior Data Engineer, you will have the opportunity to build and sustain scalable data ... Employer-paid life insurance * $5,000 annually for education, training, certifications, and ...

SMX

Cleared Hybrid Data Engineer (5418)

Hanover, MD · On-site +1

$103K - $171K/yr

SMX is hiring a Data Engineer responsible for designing, building, and maintaining scalable data ... Some key components of our robust benefits include health insurance, paid leave, and retirement.

eSimplicity

Data Engineer II

Columbia, MD · On-site +1

$93K - $100K/yr

Partnering with engineering, product, and data teams, this position provides technical leadership ... insurance, and additional wellness and employee support programs. Eligibility may vary based on ...

eSimplicity

Data Engineer II

Columbia, MD · On-site

$93K - $100K/yr

Partnering with engineering, product, and data teams, this position provides technical leadership ... insurance, and additional wellness and employee support programs. Eligibility may vary based on ...

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All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Severn, MD

Insurance Data Engineer information

See Severn, MD salary details

$49.5K

$144.2K

$197.3K

How much do insurance data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for insurance data engineer in Severn, MD is $144,203.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,300.00 and $152,900.00 per year, depending on experience, location, and employer.

What is an insurance data engineer?

Insurance Data Engineers are professionals who design, build, and maintain data systems that support the needs of insurance companies. They are responsible for collecting, organizing, and processing large amounts of data from various sources to enable accurate risk assessment, pricing, claims analysis, and regulatory compliance. Their work helps insurers make data-driven decisions, improve efficiency, and enhance customer experiences by leveraging modern data technologies.

What are the key skills and qualifications needed to thrive as an insurance data engineer, and why are they important?

To thrive as an Insurance Data Engineer, you need strong expertise in data modeling, ETL processes, and a solid understanding of insurance data structures, typically supported by a degree in computer science, data engineering, or a related field. Proficiency with SQL, Python, big data platforms (like Hadoop or Spark), and experience with cloud data solutions such as AWS or Azure are commonly required, along with certifications like AWS Certified Data Analytics or Google Cloud Data Engineer. Excellent problem-solving, communication, and collaboration skills help you bridge technical and business needs while ensuring data quality. These abilities are essential for building robust data pipelines and enabling accurate data-driven decision making within insurance organizations.

How does an insurance data engineer typically collaborate with actuarial and underwriting teams?

Insurance Data Engineers work closely with actuarial and underwriting teams to ensure that the data infrastructure supports accurate risk assessment and pricing models. They often translate business requirements from these teams into technical specifications, build data pipelines to source and clean relevant data, and assist in implementing predictive analytics tools. Regular communication and collaboration are essential, as data engineers help bridge the gap between raw data and actionable insights for decision-making. This teamwork not only streamlines workflow but also enables continuous improvement of insurance products and customer experience.

What is the difference between Insurance Data Engineer vs Data Analyst in the insurance industry?

AspectInsurance Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDevelops data pipelines, manages databases, works with big data toolsInterprets data, creates reports, visualizes insights
Employer & Industry UsageInsurance companies, tech firms in insuranceInsurance firms, consulting agencies, analytics companies

Insurance Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data to provide insights. Both roles are essential in the insurance industry but serve different functions in data management and analysis.

What job categories do people searching Insurance Data Engineer jobs in Severn, MD look for?

The top searched job categories for Insurance Data Engineer jobs in Severn, MD are:

What cities near Severn, MD are hiring for Insurance Data Engineer jobs?

Cities near Severn, MD with the most Insurance Data Engineer job openings:

Insurance Data Engineer jobs near you

Senior Data Engineer

Insomniac Design

Washington, DC • On-site

$115K - $150K/yr

Full-time

Re-posted 26 days ago

Job description

Insomniac Design is a global digital agency headquartered in Washington D.C., with offices in London, Bucharest and Chisinau.  We’re an agile, determined and innovative team organized by functional areas of expertise — Creative, Technology, Strategy, and Management. We specialize in human-centered design with deep focus on design thinking and digital transformation. 
 
At Insomniac, we leverage AI to free our teams from routine tasks so they can focus on the aspects of our functions that are most valuable. We thrive on creative problem-solving, collaboration, and innovation. By thoughtfully integrating AI into our workflows, we’re not only improving productivity but also ensuring our people have the tools to do their best work. This empowers us to build smarter solutions and deliver stronger results for our clients.
 
As a Senior Data Engineer, you will architect, build, and optimize scalable data platforms that empower our clients with unified, actionable insights. You will lead the design of robust data pipelines, enforce best practices in data governance and security, and mentor junior engineers. Your expertise will bridge technical execution and strategic vision, ensuring high-performance, secure, and scalable data solutions that drive business impact.
Technical Leadership & Strategy:
  • Architect and implement enterprise-grade data platforms, including data lakes, warehouses, and real-time pipelines.
  • Define and enforce data engineering standards, including ETL/ELT frameworks, data modeling, and quality controls.
  • Lead performance optimization of databases, queries, and pipelines (e.g., partitioning, indexing, cost-efficient cloud solutions).
  • Stay updated with emerging trends, evaluating and integrating new technologies.
Data Architecture & Infrastructure:
  • Design and implement scalable data architecture that ensures high availability, security, and performance.
  • Define best practices for data modeling, storage, retrieval, and governance.
  • Optimize database structures, schemas, indexing, and partitioning for efficient query performance.
  • Implement CI/CD for data pipelines and automate infrastructure using Infrastructure-as-Code (IaC) tools.
Data Pipelines & ETL Development:
  • Architect and develop end-to-end ETL/ELT pipelines for structured and unstructured data ingestion, processing, and transformation.
  • Automate and optimize data workflows using tools like Apache Spark, Kafka, Airflow, and dbt.
  • Monitor, troubleshoot, and optimize data pipeline performance.
Data Governance, Security & Compliance:
  • Implement data governance policies, including metadata management, lineage tracking, and role-based access control (RBAC).
  • Ensure compliance with data privacy regulations (e.g., GDPR, CCPA) and enforce security best practices.
  • Develop frameworks for data quality validation, anomaly detection, and integrity checks.
Business & Stakeholder Engagement:
  • Collaborate with stakeholders (clients, PMs) to translate business needs into technical specifications and scalable architectures.
  • Develop interactive dashboards and reporting solutions to provide actionable insights.
Innovation & Mentorship:
  • Lead technical discussions, workshops, and knowledge-sharing sessions within the team.
  • Mentor junior engineers, conduct code reviews, and set best practices.
  • Drive automation of data workflows, including CI/CD for pipelines and Infrastructure-as-Code (IaC) solutions.
Technical Skills & Experience:
  • 7+ years of experience in data engineering with a proven track record of building scalable data solutions.
  • Expertise in SQL and relational database management systems (MySQL, PostgreSQL, Oracle).
  • Proficiency in Python (or similar languages) for data processing and automation.
  • Deep understanding of cloud platforms (AWS, GCP, Azure) and cloud-native data services:AWS (Redshift, Glue, S3)Azure (Synapse, Data Factory)GCP (BigQuery, Dataflow)
  • Hands-on experience with big data tools:Apache Spark, Kafka, Airflow, dbt, Snowflake, Databricks
  • Expertise in data modeling.
  • Strong knowledge of data security, governance, and compliance frameworks.
Leadership & Soft Skills:
  • Proven track record of leading data projects, including migrations, warehousing, and real-time analytics.
  • Ability to lead cross-functional teams and manage client expectations.
  • Strong problem-solving skills for debugging distributed systems and resolving data anomalies.
  • Experience with Agile/Scrum methodologies, including tools like Jira, Git.
  • Excellent communication and stakeholder management skills.
Nice-to-Have (Bonus Skills):
  • Certifications in cloud/data technologies (e.g., AWS Certified Data Analytics, Google Cloud Data Engineer).
  • Experience with ML pipelines (e.g., feature stores, model deployment).
  • Contributions to open-source data projects.
Insomniac Design offers a competitive salary and benefits package including health and life insurance as well as 401k contribution. Salary range: $115,000 - $150,000.
 
Applicant Eligibility: Please note, candidates who are eligible to work in the US without visa sponsorship are eligible to apply. We are not accepting applicants from recruiters or staffing agencies