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Professional Data Engineer Jobs (NOW HIRING)

nimble

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

... 3+ years of professional data engineering or ETL/ELT development experience Expert-level SQL skills with proven optimization experience Proficiency in Python, Scala, or similar data processing ...

Cynet Systems

Google Cloud Platform Data Engineer

Charlotte, NC · On-site

$54.50 - $72.75/hr

Google Cloud Professional Cloud Architect Certification. * Google Cloud Professional Data Engineer Certification. Skills: * Cloud Storage. * Big Query. * Cloud Composer. * Airflow. * Cloud Functions ...

New

Mercor

Data Engineer - AI Coding Expert

New York, NY · Remote

$80/hr

Apply professional engineering judgment to realistic data engineering scenarios. Qualifications Must-Have * 2+ years of professional data engineering experience. * Experience building ETL pipelines ...

Nimble Solutions

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

... of professional data engineering or ETL/ELT development experience • Expert-level SQL skills with proven optimization experience • Proficiency in Python, Scala, or similar data processing ...

Nimble Solutions

Data Engineer

Chesterfield, MO · On-site

$113K - $136K/yr

... of professional data engineering or ETL/ELT development experience • Expert-level SQL skills with proven optimization experience • Proficiency in Python, Scala, or similar data processing ...

CYNET SYSTEMS

GCP Data Engineer

Charlotte, NC · On-site

$60/hr

Google Cloud Professional Data Engineer Certification. Skills: * Cloud Storage. * Big Query. * Cloud Composer. * Airflow. * Cloud Functions Gen2. * Cloud Run. * Pub/Sub. * Dataflow. * Dataproc.

The Walt Disney Company

Sr Data Engineer

Glendale, CA · On-site

$135K - $181K/yr

Experience building data pipelines and complex data transformations * 5+ years of professional experience in data engineering, including designing, developing, and operating of cloud-based data ...

The Walt Disney Company

Sr Data Engineer

Orlando, FL

$135K - $181K/yr

Experience building data pipelines and complex data transformations * 5+ years of professional experience in data engineering, including designing, developing, and operating of cloud-based data ...

Abode TechZone, LLC

GCP Data Engineer

Irving, TX · On-site

$106K - $127K/yr

... Professional Data Engineer Certification is highly preferred. Company : Abode TechZone LLC is fast ... growing staffing corporation, business growth depends on putting the right people in place -- the ...

Programmers.io

Bigdata Engineer with GCP

Sunrise, FL · On-site

$109K - $131K/yr

GCP certifications (e.g., Professional Data Engineer ) Education * Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent practical experience) What We ...

SynergenX Health Holdings LLC

Data Engineer II

Houston, TX · On-site

$130K - $145K/yr

Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data Engineering, or a related technical field. * 4-6 years of professional Data Engineering experience. * Hands-on ...

Computer Task Group, Inc

AWS Data Engineer

Armonk, NY

$123K - $147K/yr

Strong collaboration and communication skills Experience * 5+ years of professional data engineering experience. * Hands-on experience developing enterprise AWS data platforms. * Experience building ...

Computer Task Group, Inc

AWS Data Engineer

Armonk, NY

$123K - $147K/yr

Strong collaboration and communication skills Experience * 5+ years of professional data engineering experience. * Hands-on experience developing enterprise AWS data platforms. * Experience building ...

Courier Health

Data Engineer

New York, NY

$120K - $150K/yr

You'll likely have most of the following: * 3-5 years of professional data engineering experience * Strong SQL: you write correct, readable SQL and understand relational data modeling * Data ...

Tata Consultancy Services

GCP Data Eng

Charlotte, NC · On-site

... Professional Data Engineer) is a plus. Qualifications : Required : • 5+ years of hands-on software development experience with Big Data & Analytics solutions • GCP Cloud - Big Query, Airflow ...

Accenture Federal Services

Data Engineer

Washington, DC

$93K - $176K/yr

Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar As required by local ...

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Professional Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do professional data engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for professional 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 engineers make 300,000 a year?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark and Hadoop, can earn $300,000 or more annually. High-paying roles often require certifications, leadership responsibilities, and working in competitive markets or large organizations.

Can I make 200K as a data engineer?

Data engineers can earn $200,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and specialized expertise commanding higher pay.

What is a professional data engineer?

A professional data engineer designs, builds, and maintains data pipelines and infrastructure to enable data collection, storage, and analysis. They often work with tools like SQL, Apache Spark, and cloud platforms, and require strong programming and data management skills to support data-driven decision-making.

What engineer makes $500,000 a year?

A Professional Data Engineer can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms like Google Cloud or AWS, and certifications. High salaries are often associated with senior roles, leadership positions, or working in large organizations with complex data infrastructure.

What is the difference between Professional Data Engineer vs Data Scientist?

AspectProfessional Data EngineerData Scientist
Required CredentialsCertifications like Google Cloud Professional Data Engineer, relevant degrees in computer science or data engineeringDegrees in statistics, data science, or related fields; certifications like Certified Data Scientist
Work EnvironmentDesigning data pipelines, managing data infrastructure, ensuring data qualityAnalyzing data, building models, deriving insights from data
Employer & Industry UsageTech companies, data-driven organizations focusing on data infrastructureResearch institutions, analytics firms, companies focusing on predictive modeling

The Professional Data Engineer primarily focuses on building and maintaining data infrastructure, ensuring data flows efficiently within organizations. In contrast, Data Scientists analyze data to extract insights and develop predictive models. Both roles often collaborate but serve different functions within data teams.

What cities are hiring for Professional Data Engineer jobs? Cities with the most Professional Data Engineer job openings:
What are the most commonly searched types of Data Engineer jobs? The most popular types of Data Engineer jobs are:
What states have the most Professional Data Engineer jobs? States with the most job openings for Professional Data Engineer jobs include:
Professional Data Engineer jobs near you
Data Engineer

Data Engineer

nimble

Chesterfield, MO • On-site, Remote

$113K - $136K/yr

Other

Posted 17 days ago

Job description

Description


Data Engineer

Chesterfield Office Hybrid or Remote


Why You'll Want to Join! 


Join a leading Revenue Cycle Management (RCM) company dedicated to transforming healthcare data into actionable insights. We leverage cutting-edge technology to streamline financial and operational processes, improving efficiency and patient outcomes. We are looking for a Data Engineer to help optimize data pipelines and build a next-generation data infrastructure incorporating technologies such as Microsoft Fabric, Azure Synapse, Databricks, and Snowflake.


Position Overview


Lead the modernization of our data infrastructure as a Data Engineer for nimble. You'll architect scalable cloud-native pipelines using Microsoft Fabric and Databricks to transform healthcare data-claims, EMR/EHR, HL7/FHIR-into actionable insights that drive revenue cycle optimization and clinical outcomes.


Why This Role Matters


Healthcare data engineering is mission-critical: clean, governed data flows directly impact financial accuracy, compliance, and the decisions that improve patient care. Your ETL/ELT pipelines enable our analytics and data science teams to unlock the full potential of healthcare data.


Key Responsibilities


Design, build, and optimize ETL/ELT pipelines using Azure Synapse, Databricks, and Snowflake

Develop robust data models and schemas for healthcare datasets, including claims, EMR/EHR, HL7, and FHIR standards

Write and optimize SQL queries for performance across large healthcare datasets

Implement data governance, quality frameworks, and HIPAA compliance controls

Collaborate with analytics, data science, and business teams to define data requirements

Monitor and troubleshoot data pipeline health and performance

Develop Python or Scala code for complex transformations and data processing

Support Power BI and analytics teams with data modeling and performance optimization

Document data lineage, transformations, and technical architecture

Requirements


3+ years of professional data engineering or ETL/ELT development experience

Expert-level SQL skills with proven optimization experience

Proficiency in Python, Scala, or similar data processing languages

Hands-on experience with cloud data platforms (Azure Synapse, Snowflake, Databricks, or equivalent)

Understanding of healthcare data standards (HL7, FHIR, claims data structures)

Strong grasp of data modeling, normalization, and schema design

Experience with data versioning, CI/CD pipelines, and data quality frameworks


Preferred Qualifications


Experience with Microsoft Fabric or Azure Data Factory

Knowledge of HIPAA compliance and healthcare data security

Background in healthcare, RCM, or claims processing

Experience with dbt (data build tool) or equivalent transformation frameworks

Exposure to dimensional modeling and data warehousing best practices


What Success Looks Like


In 90 days: Deploy first cloud pipeline to production; complete HIPAA training; establish data quality baseline metrics

In 6 months: Reduce data pipeline latency by 30%; expand healthcare data models to include new sources; build reusable transformation components

Ongoing: Maintain 99.5%+ pipeline uptime; mentor junior engineers; drive architectural improvements for scale and performance

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