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Insurance Data Engineer Jobs in Gresham, OR (NOW HIRING)

Databento

Systems Engineer

Portland, OR · On-site

Databento is the market data platform for modern finance. The company provides real-time and ... We offer health, dental, disability, and life insurance benefits, as well as 401(k) matching for ...

CareOregon

IS Data Warehouse Architect III

Portland, OR · On-site +1

Conduct product and vendor research, and present recommendations to the lead developer and/or ... Health insurance * Systems analysis and design * Agile/Scrum methodology Preferred * Experience in ...

nLIGHT

Product Quality Engineer

Camas, WA · On-site

$100K - $125K/yr

Assists process owners with Measurement System Analysis (MSA/GRR) to ensure adequacy of data ... Aflac Supplemental Insurance * Paid Bereavement Leave and Jury Duty * Tuition Assistance Program

nLIGHT

Product Quality Engineer

Camas, WA · On-site

$100K - $125K/yr

Assists process owners with Measurement System Analysis (MSA/GRR) to ensure adequacy of data ... Aflac Supplemental Insurance * Paid Bereavement Leave and Jury Duty * Tuition Assistance Program

nLIGHT

Product Quality Engineer

Camas, WA

Assists process owners with Measurement System Analysis (MSA/GRR) to ensure adequacy of data ... Aflac Supplemental Insurance * Paid Bereavement Leave and Jury Duty * Tuition Assistance Program

nLIGHT

Product Quality Engineer

Camas, WA · On-site

$100K - $125K/yr

Assists process owners with Measurement System Analysis (MSA/GRR) to ensure adequacy of data ... Pet Insurance nLIGHTis subject to US Export Control regulations. To qualify for this position, you ...

Hp

Senior Cloud Engineer

Vancouver, WA

$130K - $205K/yr

... data. Contributes to technology strategy and engineering roadmaps around software engineering ... Dental insurance * Vision insurance * Long term/short term disability insurance * Employee ...

Stellantis

Resident Engineer

Portland, OR · On-site

$105K - $134K/yr

Deliver statistical analysis of data on competition, customer direction, product performance ... An employer contribution, even if you don't contribute Income Protection & Insurance Options ...

Stellantis

Resident Engineer

Gresham, OR · On-site

$104K - $133K/yr

Deliver statistical analysis of data on competition, customer direction, product performance ... An employer contribution, even if you don't contribute Income Protection & Insurance Options ...

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Showing results 41-60

All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Gresham, OR

Insurance Data Engineer information

See Gresham, OR salary details

$47.1K

$137.4K

$188K

How much do insurance data engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for insurance data engineer in Gresham, OR is $137,418.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,300.00 and $145,700.00 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.

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.

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 job categories do people searching Insurance Data Engineer jobs in Gresham, OR look for? The top searched job categories for Insurance Data Engineer jobs in Gresham, OR are:
What cities near Gresham, OR are hiring for Insurance Data Engineer jobs? Cities near Gresham, OR with the most Insurance Data Engineer job openings:
Insurance Data Engineer jobs near you

Systems Engineer

Databento

Portland, OR • On-site

Full-time

Re-posted 28 days ago

Job description

The financial industry is growing at a record pace, but our data providers are still stuck in the past — with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs.

Databento is the market data platform for modern finance. The company provides real-time and historical data across futures, options, and equities through a unified API. By owning the entire market data stack end-to-end, Databento is the first platform of its kind to combine the performance and reliability demanded by the world's leading trading firms with a dramatically simpler developer experience. Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, Tower Research, PDT Partners, SIG, and other top quantitative firms.

We offer health, dental, disability, and life insurance benefits, as well as 401(k) matching for full-time employees.

Responsibilities
  • Systems and network configuration.
  • Bare-metal and containerized application deployment.
  • Maintaining large storage clusters.
  • Instrumenting performance measurement and alerts.
  • Improving systems automation and tooling.
  • On-call support.
  • Coordinating bulk data delivery to customers and vendor partners.
  • Occasional physical infrastructure deliveries and systems provisioning.
Required qualifications
  • Strong Linux knowledge.
  • Experience with systems configuration and provisioning (PXE, Puppet, and Ansible preferred; Terraform).
  • Understanding of storage concepts (RAID, LVM, popular filesystems, distributed storage).
  • Basic networking (OSI model, IP protocols, switching/routing).
  • Ability to code in Python and write shell scripts.
  • DevOps/GitOps mindset.
  • Prior internship experience or 2+ years in full-time systems engineering or infrastructure roles.
  • Bachelor's degree in Computer Science or a related field.
  • Candidates must be authorized to work in the U.S.; H-1B visa sponsorship is not available.
Nice-to-haves
  • Experience with distributed storage systems (e.g., Ceph).
  • Customer support experience and strong problem-solving abilities.
  • Prior experience at a trading or fintech firm, or a strong interest in learning fintech.
  • Database administration (MySQL, ClickHouse, Redis).
  • Cloud engineering basics (AWS, GCP — compute, storage).
  • Virtualization and compute workloads (Proxmox, Docker, Kubernetes, HTCondor).
  • Systems and network tuning.
  • Monitoring and alerting (Prometheus, Grafana, Alertmanager, Loki).
  • Ability to travel to data centers in Portland, New Jersey, or Boston on short notice (within one week).
Notice about phishing scams

Be cautious of phishing scams impersonating Databento that offer fake job interviews and request purchases. Official emails come only from @databento.com or us.greenhouse-mail.io (our ATS). Any other domains (e.g., databento-careers.com, databento.online) are fraudulent.

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Databento, Inc. provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. In addition to federal law requirements, we comply with applicable state and local laws governing nondiscrimination in every location where we operate. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records. If you need an accommodation, please let us know.

Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn't exactly match the qualifications listed, we still want to hear from you. Please apply!