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Core Data Engineer Jobs (NOW HIRING)

Thesis Care, Inc.

Data Engineer

Manhattan, NY

Data Engineer New York Thesis is building the AI-powered care team platform for infinitely scalable ... Build core data infrastructure: Design, implement, and maintain scalable, data pipelines and ...

NTT DATA

Data Engineer

Dallas, TX

$113.70K - $136.60K/yr

Core Data Engineering Competencies * SCD Type 2. * Schema evolution (Iceberg). * Partitioning and clustering. * Normalization vs denormalization. * Natural vs surrogate keys. * Data quality ...

tvScientific

Software Engineer II, Big Data

San Francisco, CA · Remote

$134.90K - $162K/yr

As a Data Engineer at tvScientific, you will be a key player in implementing the robust data ... Evolve our core data pipelines to efficiently scale for our massive growth * Store data in optimal ...

Komodo Health

OR

$114.40K - $137.40K/yr

Mission The Senior Data Engineer will design, build, operate, and improve large-scale data ... Platform Hardening: Improve the reliability, observability, and cost-efficiency of core Data ...

Harnham

Lead Data Engineer (AI Platform)

Manhattan, NY · Hybrid

$190K - $250K/yr

This is a foundational engineering role where you will architect and implement the firm's core data and AI platform within a small, highimpact team. Responsibilities * Design and maintain a modern ...

AceStack LLC

Data & AI Engineer

Bellevue, WA · On-site

$129.20K - $155.20K/yr

Core Data Engineering Competencies; Data Concepts & Data Modelling; Digital : Big Data Platforms; data pipelines design; Microsoft fabric data agents; Azure AI Services; AI and ML Integration;

Southern Trust Insurance Company

Data Engineer

Macon, GA

$109.80K - $131.90K/yr

Data Engineer Must be located in the Eastern or Central US Time Zone Travel: Occasional, based on ... Solid understanding of dimensional modeling and core data architecture principles. * Familiarity ...

Nubank

Lead ML Data Engineer, AI Core

Palo Alto, CA · On-site

$120.80K - $159.10K/yr

Lead Machine Learning Data Engineer, AI Core USA, Durham; USA, Miami; USA, Palo Alto About Us Nu is one of the largest digital financial platforms in the world, with more than 127 million customers ...

Studio Movie Grill

Contract Data Engineer

Dallas, TX · On-site

$104.90K - $126K/yr

You will assess, prioritize, and rebuild core data pipelines while establishing a scalable ... Shape the future state of data engineering at Studio Movie Grill Perks: • Project-based ...

Lyra Health

Sr. Data Engineer

Charleston, WV · Remote

$128K - $176K/yr

Join a team of innovative engineers building and scaling the core data infrastructure, pipelines, and services that power our products * Design and implement a robust data warehouse to support a wide ...

SnapCode, Inc.

Senior Data Engineer

Pleasanton, CA · Hybrid

$117.70K - $159.90K/yr

As a Senior/Lead Data Engineer, you will lead the design, development, and ownership of core data infrastructure-from pipelines to storage to data products. You'll be a strategic partner across teams ...

SnapCode Inc

Senior Data Engineer

Pleasanton, CA · Hybrid

$117.70K - $159.90K/yr

Pleasanton, California (hybrid work) Role Overview As a Senior/Lead Data Engineer, you will lead the design, development, and ownership of core data infrastructure--from pipelines to storage to data ...

Nubank

Lead ML Data Engineer, AI Core

Durham, NC · On-site

$92.90K - $122.30K/yr

Lead Machine Learning Data Engineer, AI Core USA, Durham; USA, Miami; USA, Palo Alto About Us Nu is one of the largest digital financial platforms in the world, with more than 127 million customers ...

Tabs

Data Engineer

New York, NY · On-site

$160K - $195K/yr

About the role You'll be the first Data Engineer at Tabs, building the core data infrastructure that powers our internal KPIs, customer insights, and our AI systems. Your initial mandate is to design ...

Tabs

Data Engineer

New York, NY · On-site

$160K - $195K/yr

About the role You'll be the first Data Engineer at Tabs, building the core data infrastructure that powers our internal KPIs, customer insights, and our AI systems. Your initial mandate is to design ...

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Core Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do core data engineer jobs pay per year?

As of Jun 2, 2026, the average yearly pay for core data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Core Data Engineer, you need expertise in data modeling, database management, and programming languages such as SQL, Python, or Java, often supported by a degree in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, and cloud platforms, along with certifications in data engineering or cloud services, is typically required. Strong problem-solving skills, attention to detail, and effective communication help you excel in collaborating with cross-functional teams and addressing complex data challenges. These skills and qualities are crucial for designing scalable data solutions and ensuring reliable, high-quality data infrastructure that supports business objectives.

What are some common challenges Core Data Engineers face when optimizing data pipelines?

Core Data Engineers often encounter challenges such as handling large volumes of data, ensuring data quality, and minimizing pipeline latency. Balancing data consistency with system performance can be complex, especially as data sources and user demands scale. Collaboration with data analysts, data scientists, and other engineers is crucial to ensure that data pipelines align with business goals and remain efficient. Adapting to evolving technologies and troubleshooting unexpected bottlenecks are also regular parts of the role.

What are Core Data Engineers?

Core Data Engineers are technology professionals who design, build, and maintain the foundational data infrastructure within an organization. They focus on developing data pipelines, ensuring data integrity, and optimizing systems for collecting, storing, and processing large volumes of data. Their work enables data scientists, analysts, and other teams to access reliable, high-quality data for decision-making. Core Data Engineers often work with big data technologies, databases, and cloud platforms to support scalable data solutions.

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

AspectCore Data EngineerData Engineer
Required CredentialsBachelor's in Computer Science, Data Science, or related field; experience with data pipelines and databasesBachelor's in Computer Science, Data Science, or related field; strong programming and database skills
Work EnvironmentFocus on building and maintaining core data infrastructure, ETL processes, and data storage systemsDesigning, developing, and managing data pipelines, analytics, and data integration across systems
Employer & Industry UsageTech companies, finance, healthcare, and any industry with large-scale data needsSimilar industries, often overlapping with core data roles but broader in scope

Core Data Engineers specialize in developing and maintaining the foundational data infrastructure, while Data Engineers may have a broader role including data analysis and pipeline development. Both roles require similar skills and often work in the same industries, but Core Data Engineers focus more on the core systems that support data analytics and storage.

More about Core Data Engineer jobs
What job categories do people searching Core Data Engineer jobs look for? The top searched job categories for Core Data Engineer jobs are:
Core Data Engineer jobs near you
Infographic showing various Core Data Engineer job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Thesis Care, Inc.

Manhattan, NY

Other

Posted 26 days ago

Job description

Data Engineer

New York

Thesis is building the AI-powered care team platform for infinitely scalable clinical capacity. We radically increase access and improve quality of care by combining AI agents with clinical experts to take on high-impact clinical operations and care management activities for healthcare organizations.

We're based in NYC, are growing rapidly, and are backed by $60 million in funding from Oak HC/FT, CRV, Black Opal Ventures, and experienced C-level healthtech angel investors.

About the role

We are looking for a highly driven Data Engineer to help design, build, and scale the data foundations that power Thesis's AI agents, including owning critical client integrations. You will work closely with the product, engineering, and AI/ML teams to ensure Thesis's data architecture is scalable, reliable, secure, and actionable. This is a broad-scope, high-impact role for a technical builder who thrives in ambiguity and wants meaningful ownership over modern data infrastructure in an early-stage healthcare startup.

Responsibilities

  • Build core data infrastructure: Design, implement, and maintain scalable, data pipelines and architectures across ingestion, transformation, and storage layers
  • Own client integrations and data ingestion: Structure and maintain durable integrations and ETL workflows to reliably onboard and normalize client data.
  • Design robust data models: Build and maintain clean, well-documented data models that support reporting, analytics, and downstream automation.
  • Enable product and analytics outcomes: Ensure data flows accurately from source systems to products, analytics, and AI/ML use cases.
  • Drive data quality and reliability: Implement monitoring, testing, and observability to ensure high data quality and system uptime.

We expect you to have

  • Strong technical foundation: 4-6+ years of experience in Data Engineering or Software Engineering with a data focus; strong proficiency in Python and SQL.
  • Modern data stack experience: Hands-on experience with cloud data platforms (AWS and/or GCP), data warehouses (Snowflake, Redshift, or BigQuery), orchestration tools (Airflow or similar), and transformation tools (dbt preferred).
  • Healthcare data chops: Familiarity integrating with healthcare data standards and systems (e.g., FHIR/HL7, EHR APIs), including working with messy clinical/claims data.
  • Data modeling expertise: Experience designing data models for different sources, workflows, and business processes.
  • Clear communication: Ability to explain complex technical concepts to both technical and non-technical stakeholders.
  • NYC-based: You are based in New York and excited to be in-office 3+ days per week.

Target compensation for this role is $170-$250k, plus equity and a generous benefits package.

Thesis Care is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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