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Core Data Engineer Jobs (NOW HIRING)

Staffingine LLC

Data Engineer

Glendale, CA · On-site

$121K - $145K/yr

Data Engineer Job Location: Glendale, CA Job Type: Full-Time ● Contribute to maintaining ... Core Data platform data pipelines ● Build tools and services to support data discovery, lineage ...

Staffingine LLC

Data Engineer

Glendale, CA · On-site

$121K - $145K/yr

Data Engineer Job Location ... Glendale, CA Job Type: Full-Time Contribute to maintaining, updating, and expanding existing Core ...

CAYS Inc

Data Engineer

Jersey City, NJ

$119K - $143K/yr

... Data Engineer with 8+ years of hands-on experience in enterprise data engineering, including deep ... Lead dbt Core implementation, including project structure, environments, and CI/CD integration

Unicon Pharma Inc.

Data Engineer

Davie, FL · On-site

$104K - $126K/yr

Data Engineer (Core Data Engineer role) 1 year assignment.(Temp to perm: Based on openings and performance) Davie, FL (Onsite) Shift: Monday - Friday 8:00am - 5:00pm, 40 hours a week Core Essential ...

Lakeview Loan Servicing

Lead Data Engineer

Manhattan, NY · On-site

$220K - $300K/yr

This role owns the technical direction for core data capabilities, including ETL/ELT, batch and ... Establish engineering standards, reusable patterns, and design principles that improve quality and ...

Lakeview Loan Servicing

Lead Data Engineer

Manhattan, NY · Remote

$220K - $300K/yr

This role owns the technical direction for core data capabilities, including ETL/ELT, batch and ... Establish engineering standards, reusable patterns, and design principles that improve quality and ...

Takeda

Manager,Core Data ProductStrategy

Lexington, MA · On-site +1

$116K - $182K/yr

Join Takeda as a Manager, Core Data Product Strategy, where you will support the design, build, and ... engineering, data modeling, or analytics in a matrixed environment. * Hands-on experience with ...

Marencor

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Skills and Requirements * 7+ years of experience with a core data engineering skillset leveraging AWS native technologies (AWS Glue, Python, Snowflake, S3, Redshift). * Experience in the design and ...

Kanak Elite Services Inc

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Deep understanding of core data engineering patterns: ingestion, transformation, modeling (dimensional/SCDs), and delivery. * Proven experience with database physical design including partitioning ...

Prophecy Technologies

Data Engineer

Mount Laurel, NJ · On-site

$113K - $136K/yr

Job Summary We are seeking a Senior Data Engineer with strong core engineering experience in building and supporting scalable, production-grade data platforms on Azure . The role requires deep hands ...

Windfall

Senior Data Engineer

Denver, CO

$109K - $148K/yr

As a Sr. Data Engineer on our data team, you will be building out the core data asset that everything else at Windfall is built on top of. Communication and collaboration are at the heart of Windfall ...

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All JobsCore Data Engineer Jobs

Core Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do core data engineer jobs pay per year?

As of Jun 22, 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 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 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 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 June 2026, with employment types broken down into 1% Internship, 1% As Needed, 66% Full Time, 27% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Founding Data Engineer (Core Data Platform)

Embedding VC

San Francisco, CA • On-site

$134K - $162K/yr

Full-time

Posted 28 days ago

Job description

About OpenArt
OpenArt is an AI Storytelling and Visual Creation Platform used by millions worldwide. We're building the next generation of creative tools powered by cutting-edge AI, enabling anyone to create videos, visuals, characters, and stories with unprecedented speed and imagination. We believe the future of creativity is AI-native, and we're shaping that future.
Why Join OpenArt
  • Own the entire data foundation of a fast-scaling AI company - from raw data to executive metrics.
  • Build from 0 → 1 - define the architecture that powers product, finance, and company-wide decision making.
  • High visibility and impact - your work directly informs leadership, product direction, and company strategy.
  • Founder-led, fast-moving culture - high ownership, low process, high trust.
  • AI-native company - help define how data supports AI systems, agents, and long-term intelligence.
  • 7-10X revenue growth over the past 2 years - now scaling the data layer to match.
About the Role
We're looking for a Founding Data Engineer to build and own OpenArt's core data platform and source of truth, supporting product, finance, and leadership decision-making.
This is a 0 → 1 role focused on data reliability, modeling, and long-term scalability - not just analytics or dashboarding.
You will define how data is structured, validated, and served across the company - ensuring that key metrics are consistent, trusted, and production-grade.
You'll work closely with the Head of Data, engineering, and leadership to establish a robust data foundation that scales with the company.
What You'll Do
  • Design and build core data pipelines (e.g., product events, payments, internal systems → BigQuery)
  • Define and maintain the data warehouse architecture, including schema design, data modeling, and table structure
  • Establish and own the single source of truth (SOT) for product and business metrics
  • Build and maintain core data models (user, subscription, revenue, engagement, etc.)
  • Ensure data consistency across systems (product analytics, billing, internal tools)
  • Lead data reconciliation efforts (e.g., Stripe vs internal systems vs reporting)
  • Implement data quality checks, validation, and monitoring systems
  • Build reliable reporting layers used by leadership and finance (not ad hoc dashboards)
  • Establish data standards and contracts (event naming, schema governance, tracking consistency)
  • Partner with engineering to improve instrumentation and data correctness at source
  • Support downstream teams (analytics, DS) by providing clean, well-documented datasets
  • Continuously improve data reliability, performance, and cost efficiency
What We're Looking For
Core Requirements
  • 5+ years of experience in data engineering or analytics engineering
  • Proven experience building data platforms or warehouses from 0 → 1
  • Strong SQL and Python - you write clean, production-quality data code
  • Deep expertise in data modeling, ETL/ELT design, and warehouse architecture
  • Experience with modern data stack:
    • BigQuery / Snowflake / Redshift
    • dbt or similar transformation tools
    • Workflow orchestration tools (Airflow / Prefect or similar)
  • Experience working with financial and product data (e.g., payments, subscriptions, usage data)
  • Strong understanding of data reliability, testing, and validation
  • Ability to translate business definitions into durable, consistent data models
  • High ownership - you can define and drive architecture decisions independently
  • Comfortable operating in ambiguous, fast-moving environments

Nice to Have
  • Experience building data systems for finance or revenue reporting
  • Experience with data reconciliation across multiple systems
  • Familiarity with BI tools (Metabase, Looker, etc.)
  • Experience designing semantic layers or metric definitions
  • Prior experience as an early or founding data hire
Tech Stack You'll Work With
BigQuery, dbt (or similar), Airbyte/Fivetran (or custom pipelines), Metabase, Amplitude, Stripe, Python, SQL, GCP
Compensation
  • Competitive base salary and bonus program
  • Equity - meaningful ownership in what you build
  • High autonomy, high growth environment
Work Setup
  • Bay Area preferred (hybrid allowed)
  • Visa sponsorship available
  • We'll consider remote

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