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Data Quality and Data Governance Engineer

Drevol LLC

Hybrid in Plano, Texas • 4d ago

Easy Apply

Contract

Depends on Experience

AWS Data Governance Engineer

Ztek Consulting

Plano, Texas • Today

Easy Apply

Full-time

Depends on Experience

Retail Data SME

Cloud Data Vision LLC

Dallas, Texas • 7d ago

Easy Apply

Contract

Depends on Experience

Data Product Engineer (Databricks)

NTT DATA Americas, Inc

Hybrid in Plano, Texas • 27d ago

Easy Apply

Third Party, Contract

$70 - $80

Data Engineer

Innova Solutions, Inc

Plano, Texas • 5d ago

Easy Apply

Contract

Depends on Experience

Data Governance Engineer, Strong Pharma

People Force Consulting Inc

Remote • Today

Easy Apply

Third Party, Contract

Data Governance Engineer With Pharma Domain Exp.

Magicforce

Remote • Today

Easy Apply

Contract, Third Party

Depends on Experience

Data Engineer

Mitchell Martin, Inc.

Irving, Texas • 6d ago

Easy Apply

Third Party, Contract

$50 - $60

Snowflake/Python Data Engineer

Kforce Technology Staffing

Plano, Texas • Today

Contract

$60 - $80 hourly

Data Science Architect

Mars Technominds Inc

Hybrid in McKinney, Texas • 3d ago

Easy Apply

Contract

Depends on Experience

Data Product Engineer (Databricks)

NTT DATA, Inc.

Plano, Texas • Today

Full-time

USD 70.00 - 80.00 per hour

Data Product Engineer (Databricks)

NTT DATA, Inc.

Plano, Texas • Today

Full-time

USD 116,000.00 - 155,000.00 per year

Senior-level Machine Learning Engineer / Data Scientist

BCforward

Plano, Texas • Today

Easy Apply

Contract

$70 - $73 per hour

Senior Oracle Data Engineer - Onsite

NTT DATA, Inc.

Plano, Texas • Today

Full-time

USD 102,675.00 - 171,125.00 per year

Senior Data Engineer Healthcare Data Platforms

ADDSOURCE

Irving, Texas • Today

Easy Apply

Third Party

Lead Data Engineer (Foundry)

Suntex Marinas

Remote or Hybrid in Dallas, Texas • 19d ago

Easy Apply

Full-time

160,000 - 175,000

Oracle QA Automation Engineer

Apex Systems

Addison, Texas • Today

Easy Apply

Full-time

$65 - $68 per hour

Lead Software Engineer - Data Engg. - Databricks / Snowflake

JPMorgan Chase & Co.

Plano, Texas • Today

Full-time

Senior Data Engineer on-site)

Tabletop Media LLC d/b/a Ziosk

Plano, Texas • Today

Full-time

Data Engineer - MarTech

Kforce Technology Staffing

Irving, Texas • Today

Contract

$46 - $51 hourly

Data Engineer / Data Scientist – Microsoft Fabric & Purview

Edify Technologies, Inc.

Irving, Texas • 21d ago

Easy Apply

Third Party, Contract

50 - 60

Lead Data Engineer

Arnex Solutions LLC

Dallas, Texas • Today

Full-time, Third Party

Depends on Experience

Software Engineer III - Data Engineer

JPMorgan Chase & Co.

Plano, Texas • Today

Full-time

Lead Data Engineer

Lennar Corp

Irving, Texas • Today

Full-time

Lead Software Engineer - Data Engineering & Applied AI

JPMorgan Chase & Co.

Plano, Texas • Today

Full-time

Senior Data Software Engineer with Databricks, dbt, Data Quality

EPAM Systems

Remote • Today

Full-time

Data Engineer III

AmTrust North America

Dallas, Texas • Today

Full-time

Data Solutions Engineer, Assistant Vice President

Citi

Irving, Texas • Today

Full-time

USD 107,120.00 - 160,680.00 per year

Staff Data & Analytics Engineer, Domain Enablement (R6112)

Shield AI Inc

Dallas, Texas • Today

Full-time

USD 160,000.00 - 240,000.00 per year

Principal Engineer II - Data Engineering

Toyota Motor North America

Plano, Texas • Today

Full-time

Job Details

Skills

soda
Gable
Apache Kafka
AWS Kinesis

Summary

About the Role

We are seeking a Senior Data Engineer specializing in Data Quality and Data Governance to design, build, and scale our next-generation data platform. In this role, you will lead the transition from ad-hoc data processing to a production-grade, highly reliable data platform.

You will work at the intersection of platform engineering and governance, establishing robust data contracts, automated data testing, and continuous monitoring across our enterprise systems.

Key Responsibilities

Data Platform Development: Architect, implement, and maintain scalable, production-grade ETL/ELT data pipelines and platforms using Python, PySpark, and SQL on AWS.
Data Quality & Checks: Design and deploy automated data quality testing, proactive monitoring, and anomaly detection across all data layers to ensure accuracy, completeness, and freshness.
Data Contracts & Governance: Standardize and enforce data contracts between data producers and consumers to eliminate schema drift and ensure clear operational ownership.
Governance Tooling Integration: Implement and manage modern data quality and governance frameworks using tools such as Soda, Gable, or similar modern data stack utilities (e.g., Great Expectations, Monte Carlo).
Productionization & Optimization: Transition legacy or prototype data pipelines into reliable, maintainable, and cost-effective production systems adhering to CI/CD and software engineering best practices.
Technical Leadership: Partner with cross-functional analytics, data science, and product teams to embed data quality standards into every stage of the software development lifecycle.

Required Qualifications

Experience: 7+ years of hands-on data engineering experience, with a strong focus on data quality, data governance, and data pipeline reliability.
Core Tech Stack: Expert-level proficiency in Python, SQL, and PySpark.
Cloud Infrastructure: Extensive hands-on experience building production data architectures on AWS (e.g., S3, Glue, EMR, Redshift, Athena, Lambda).
Data Quality Frameworks: Direct experience developing data checks and using data quality/contract tools like Soda, Gable, Great Expectations, or custom automated frameworks.
Data Modeling & Architecture: Strong knowledge of data warehousing, lakehouse architectures, schema evolution, and data contract implementations.
Engineering Standards: Experience with software engineering best practices, including Git, CI/CD pipelines, containerization (Docker), and orchestration tools (e.g., Apache Airflow, Prefect, or Dagster).

Preferred Qualifications

Experience with automated data lineage and metadata management platforms.
Familiarity with streaming architecture technologies (e.g., Apache Kafka, AWS Kinesis).
Background in establishing SLAs, SLOs, and error budgets specifically tailored for data quality metrics.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91172358
Position Id: 9101640
Posted 4 days ago

Fitment

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Contact the job poster

Nooruddin Ghani

Senior Technical Recruiter @ Drevol LLC

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Lead Data Engineer

Plano, Texas

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Job Description Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team. As a Lead Data Engineering at JPMorgan Chase within the Consumer and Community Banking team, you design, develop, and maintain robust data pipelines and architectures.. You drive data governance, performance optimization, and mentor engineers while collaborating with business, analytics and technology stakeholders. You ensure scalable, secure, and efficient data solutions that

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Data Engineer

Remote

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Role - Data Engineer Location - Remote Contract - 6 Months CTH Qualifications Required Bachelor's degree in a computer-related field from an accredited college or university and five (5) or more years of experience in data engineering, building scalable and distributed ETL data pipelines in enterprise environments. Experience building and operating scalable AWS-based data platforms and pipelines using services including Lambda, Glue, Athena, S3, Redshift, DMS, MWAA (Airflow), and Step Functions,

Easy Apply

Contract

Depends on Experience

Job Details

Skills

soda
Gable
Apache Kafka
AWS Kinesis

Summary

About the Role

You will work at the intersection of platform engineering and governance, establishing robust data contracts, automated data testing, and continuous monitoring across our enterprise systems.

Key Responsibilities

Data Platform Development: Architect, implement, and maintain scalable, production-grade ETL/ELT data pipelines and platforms using Python, PySpark, and SQL on AWS.
Data Quality & Checks: Design and deploy automated data quality testing, proactive monitoring, and anomaly detection across all data layers to ensure accuracy, completeness, and freshness.
Data Contracts & Governance: Standardize and enforce data contracts between data producers and consumers to eliminate schema drift and ensure clear operational ownership.
Governance Tooling Integration: Implement and manage modern data quality and governance frameworks using tools such as Soda, Gable, or similar modern data stack utilities (e.g., Great Expectations, Monte Carlo).
Productionization & Optimization: Transition legacy or prototype data pipelines into reliable, maintainable, and cost-effective production systems adhering to CI/CD and software engineering best practices.
Technical Leadership: Partner with cross-functional analytics, data science, and product teams to embed data quality standards into every stage of the software development lifecycle.

Required Qualifications

Experience: 7+ years of hands-on data engineering experience, with a strong focus on data quality, data governance, and data pipeline reliability.
Core Tech Stack: Expert-level proficiency in Python, SQL, and PySpark.
Cloud Infrastructure: Extensive hands-on experience building production data architectures on AWS (e.g., S3, Glue, EMR, Redshift, Athena, Lambda).
Data Quality Frameworks: Direct experience developing data checks and using data quality/contract tools like Soda, Gable, Great Expectations, or custom automated frameworks.
Data Modeling & Architecture: Strong knowledge of data warehousing, lakehouse architectures, schema evolution, and data contract implementations.
Engineering Standards: Experience with software engineering best practices, including Git, CI/CD pipelines, containerization (Docker), and orchestration tools (e.g., Apache Airflow, Prefect, or Dagster).

Preferred Qualifications

Experience with automated data lineage and metadata management platforms.
Familiarity with streaming architecture technologies (e.g., Apache Kafka, AWS Kinesis).
Background in establishing SLAs, SLOs, and error budgets specifically tailored for data quality metrics.

Dice Id: 91172358
Position Id: 9101640
Posted 4 days ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Contact the job poster

Nooruddin Ghani

Senior Technical Recruiter @ Drevol LLC

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

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