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Data Engineer Jobs in Delaware, OH (NOW HIRING)

AndHealth

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Data Engineer Full Time Columbus, OH About Andhealth AndHealth is a healthcare technology company created to radically improve access and outcomes for the most challenging chronic health conditions.

National Church Residences

Azure Data Engineer

Dublin, OH · On-site

$110K - $132K/yr

As an individual contributor and Data Engineering owner, you play a key role in shaping a scalable and well-designed data environment, while applying strong engineering judgment and pragmatic ...

Bespoke Labs

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

National Church Residences

Azure Data Engineer

Dublin, OH

$110K - $132K/yr

As an individual contributor and Data Engineering owner, you play a key role in shaping a scalable and welldesigned data environment, while applying strong engineering judgment and pragmatic ...

Pwc

Data Engineer - Manager

Columbus, OH · On-site

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Senior Manager

Columbus, OH · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Vertiv

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110K - $132K/yr

As a Data Engineer - Cloud/AI, you will design, build, and maintain scalable data pipelines and architectures, collaborating with various teams to ensure data accuracy and accessibility.

Pwc

Data Engineer - Senior Associate

Columbus, OH · On-site

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Gifthealth

Senior Data Engineer

Columbus, OH · On-site

$142K - $177K/yr

Position Summary The Sr. Data Engineer is responsible for leading the design and architecture of Gifthealth's most critical data pipelines and platform components, establishing technical standards ...

giftHEALTH Inc

Senior Data Engineer

Columbus, OH · On-site

$142K - $177K/yr

Position Summary The Sr. Data Engineer is responsible for leading the design and architecture of Gifthealth's most critical data pipelines and platform components, establishing technical standards ...

Gifthealth Inc

Senior Data Engineer

Columbus, OH · On-site +1

$177K/yr

Description Position Summary The Sr. Data Engineer is responsible for leading the design and architecture of Gifthealth\'s most critical data pipelines and platform components, establishing technical ...

Gifthealth Inc

Senior Data Engineer

Columbus, OH · On-site +1

$142K - $177K/yr

Description Position Summary The Sr. Data Engineer is responsible for leading the design and architecture of Gifthealth's most critical data pipelines and platform components, establishing technical ...

Vertiv Co

Data Engineer - Cloud/AI

Westerville, OH

$110K - $132K/yr

Job Summary As a Data Engineer - Cloud/Gen AI , you will be responsible for designing, building, and maintaining scalable and robust data pipelines and architectures. You will work in a dynamic ...

Lower LLC

Senior Data Engineer

Columbus, OH · On-site

$102K - $139K/yr

As a Data Engineer, you will help build, maintain, and improve the data infrastructure that powers reporting, analytics, operations, marketing, finance, product, and executive decision-making across ...

Vertiv Group Corp.

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110K - $132K/yr

Job Summary As a Data Engineer - Cloud/Gen AI , you will be responsible for designing, building, and maintaining scalable and robust data pipelines and architectures. You will work in a dynamic ...

Advanced Drainage Systems

Senior Data Engineer

Hilliard, OH · Hybrid

$100K - $136K/yr

Key Responsibilities Data Engineering & Platform Development * Design and build scalable ELT/ETL pipelines using cloud-native technologies (e.g., Snowflake, Azure, Databricks) * Develop and maintain ...

Advanced Drainage Systems

Senior Data Engineer

Hilliard, OH · Hybrid

$100K - $136K/yr

Key Responsibilities Data Engineering & Platform Development * Design and build scalable ELT/ETL pipelines using cloud-native technologies (e.g., Snowflake, Azure, Databricks) * Develop and maintain ...

Huntington

Data Engineer Lead

Columbus, OH · On-site +1

The Data Engineer Lead plays a pivotal role in building and operationalizing the minimally inclusive data necessary for the enterprise data and analytics initiatives following industry standard ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Delaware, OH

Data Engineer information

See Delaware, OH salary details

$42.2K

$123.1K

$168.5K

How much do data engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data engineer in Delaware, OH is $123,121.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,700.00 and $130,500.00 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.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Delaware, OH?

The most popular types of Data Engineer jobs in Delaware, OH are:

What are popular job titles related to Data Engineer jobs in Delaware, OH?

For Data Engineer jobs in Delaware, OH, the most frequently searched job titles are:

What job categories do people searching Data Engineer jobs in Delaware, OH look for?

The top searched job categories for Data Engineer jobs in Delaware, OH are:

What cities near Delaware, OH are hiring for Data Engineer jobs?

Cities near Delaware, OH with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Delaware, OH as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $123,121 per year, or $59.2 per hour.

Data Engineer

AndHealth

Columbus, OH • On-site

$110K - $132K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 24 days ago

Job description

Data Engineer
Full Time
Columbus, OH
About Andhealth
AndHealth is a healthcare technology company created to radically improve access and outcomes for the most challenging chronic health conditions. We are driven by the goal of making world-class specialty care accessible and affordable to all. We partner with health systems, community health centers, and independent practices to remove barriers to care to ensure all people have access to the care they deserve.
About the Role
We are building the modern data platform that powers AndHealth's analytics, reporting, operational workflows, product integrations, and AI initiatives. This is a senior, hands-on infrastructure and pipeline engineering role. You will own the systems that ingest, transport, transform, and serve data - the foundational layer that everything else at AndHealth depends on.
Healthcare data is messy. Partner feeds arrive in inconsistent formats with no warning when schemas change. Source systems span decades of technical debt: flat files, HL7 feeds, proprietary exports, and undocumented APIs. Compliance requirements are strict and non-negotiable. We need someone who has been through this before and knows how to build ingestion and transformation systems that absorb that complexity, so that by the time data reaches the warehouse, it is clean, consistent, and trustworthy.
We expect engineers to leverage AI tools thoughtfully to move faster, and to bring good judgment about where automation helps and where it introduces risk.
What You'll Do:
  • Build and own the ingestion layer. Design scalable frameworks for onboarding new healthcare partner data sources: file-based, API-based, streaming, with standardized validation, error handling, and schema evolution support.
  • Design and maintain production-grade data pipelines that are idempotent, incremental where appropriate, and built to recover gracefully from failures.
  • Build the data quality and observability infrastructure. Implement schema validation, row-count reconciliation, freshness checks, anomaly detection, and alerting at the platform level.
  • Own orchestration, scheduling, and pipeline reliability. Every pipeline has clear SLAs, dependency management, failure alerting, and documented recovery procedures. You build the runbooks, the backfill tooling, and the incident response patterns.
  • Manage the warehouse infrastructure layer. Performance tuning, partitioning and clustering strategies, cost optimization, access control, and environment management in BigQuery.
  • Translate complex healthcare source systems into clean, standardized raw and staging datasets that analytics engineers and analysts can build on with confidence. This includes messy, semi-structured partner data from EHRs, claims systems, pharmacy platforms, and billing feeds.
  • Build reusable ingestion and transformation frameworks that the team can extend without reinventing the wheel. Think config-driven pipelines, shared libraries, and standardized patterns.
  • Manage integrations with healthcare partners and external data sources, including HRSA, CMS, Medicaid, FDA Orange Book, and federal drug pricing reference datasets. Own the ingestion contracts, handle schema drift, and ensure no data is silently lost or corrupted.
  • Ensure HIPAA-compliant security, privacy, and access controls throughout the data lifecycle, including PII detection and masking, role-based access, encryption, and audit logging.
  • Define and enforce data contracts between source systems and the data platform, and between the platform and downstream consumers. When something changes upstream, you know about it before it causes damage.

Education & Experience:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related technical field preferred.

Other Skills & Qualifications:
Required
  • Hands-on data engineering experience, with a track record of building and operating production data systems.
  • You've built ingestion systems from scratch. You've dealt with unreliable source systems, inconsistent file formats, undocumented APIs, and schema changes that arrive without warning. You know how to build frameworks that handle these problems systematically.
  • Strong infrastructure and platform thinking. You make build-vs-buy decisions, evaluate new tooling, and set the standards the rest of the team builds on. You've designed systems, not just contributed to them.
  • Production pipeline engineering with Python: building ETL/ELT workflows, handling file-based and API-based integrations, managing retries and error handling.
  • Advanced SQL skills: complex joins, CTEs, window functions, query optimization, and large-scale transformations. You should be able to look at a slow query and know where to start.
  • Strong understanding of data warehouse architecture and modeling patterns: star schemas, slowly changing dimensions, incremental models, and when to apply each.
  • Deep fluency with Cloud Data Platforms (preferably GCP and BigQuery), partitioning strategies, clustering, slot economics, materialization trade-offs, and cost optimization.
  • Design for resilience, not just correctness. You think about failure modes, backfill strategies, idempotency, and what happens when a source schema changes at 2 AM on a Friday.
  • Experience troubleshooting and resolving production incidents: diagnosing pipeline failures, data anomalies, and performance bottlenecks under pressure.
  • Deep experience with pipeline orchestration and reliability engineering. You've designed DAGs with complex dependency chains, built retry and backfill mechanisms, implemented SLA monitoring. You know the difference between a pipeline that works and a pipeline that's production-ready.
  • Raise the bar for the team. You establish patterns, write reusable systems, define standards, and mentor junior engineers.

Preferred
  • Experience working with healthcare data: EHR, claims, pharmacy, billing, or revenue cycle datasets. You understand the quirks-messy provider taxonomies, adjudication cycles, NDC codes, ICD/CPT mapping.
  • Familiarity with healthcare interoperability standards: HL7, FHIR, CCD, or EDI.
  • Experience implementing data quality, observability, governance, lineage, or metadata management solutions.
  • Experience working in a startup or high-growth technology environment.
  • We expect engineers to leverage AI tools thoughtfully to move faster, and to bring good judgment about where automation helps and where it introduces risk.

Here's what we'd like to offer you:
  • Equal investment and support for our people and patients.
  • A fun and ambitious start-up environment with a culture that takes on big things, takes risks, and learns quickly.
  • The ability to demonstrate creativity, innovation, and conscientiousness, and find joy in working together.
  • A team of highly skilled, incredibly kind, and welcoming employees, every one of whom has something unique to offer.
  • We know that the overall success of our business is a collaborative effort, and we strive to provide ongoing opportunities for our employees to learn and grow, both personally and professionally.
  • Full-time employees are eligible to participate in our benefits package which includes Medical, Dental, Vision Insurance, Company paid time off, Short- and Long-Term Disability, and more.

We are an equal opportunity and affirmative action employer. We embrace diversity and are committed to creating an inclusive environment for all employees. Applicants will be considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, disability, or veteran status.

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