Data Quality

Data Quality Engineer Jobs

32 jobs found

Today

Principal Data Engineer, Product Data

Okta Bellevue, WA

Bellevue, WA

Today

$197k - $271k/yr Full time Apache Airflow Big Data Cloud Platform

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Job Description

Okta’s Data and Insights team is seeking a Principal Data Engineer to architect, build, and maintain scalable data platforms that enable product behavioral (telemetry) insights. This role works closely with Product Engineering to strengthen instrumentation, uphold data integrity and governance, and lead cross-functional efforts while mentoring engineers.

Responsibilities

Design, build, and continuously evolve high-scale data solutions that align with the organization’s reference architecture and make data access simpler across teams.
Create data quality frameworks, including monitoring, anomaly detection, and alerting, with governance, lineage tracking, and change management discipline suitable for externally reported metrics.
Drive enterprise adoption of consistent data modeling patterns, naming conventions, documentation standards, and metric governance practices across the data organization.
Lead cross-functional technical initiatives across data verticals to accelerate delivery and improve reliability of data systems.
Make sound technical decisions in ambiguous environments, balancing near-term execution with long-term infrastructure investment.
Champion data contracts by implementing data contracts and schema evolution practices to support dependable data consumption across global product teams.
Mentor and scale engineering capability by raising technical standards, mentoring senior engineers, leading cross-functional task forces, and supporting a data-driven engineering culture.
Stay current with the evolving data landscape, adopting and advocating for emerging technologies and practices that shape the team’s long-term technical direction.

Requirements

10+ years in a data engineering role, including senior or lead capacity. Federal government compliance and security requirements experience is highly desirable.
Deep expertise in product behavioral data engineering, with focus on telemetry data and structured datasets used for product launch analysis, feature usage, retention, and other key product lifecycle metrics.
Proven experience partnering with Product Engineering teams to deliver successful instrumentation for data collection.
Expert-level technical experience with SQL, ETL/ELT tools including Airflow and dbt, and MPP databases such as Snowflake and Redshift.
Extensive hands-on experience with AWS services including S3, Lambda, EMR, ECR, and EKS.
Deep experience designing and working with lakehouse architectures (Databricks) and modern file formats including Iceberg and Delta.

Technology Focus

SQL
Airflow, dbt
Snowflake, Redshift
AWS: S3, Lambda, EMR, ECR, EKS
Databricks, Iceberg, Delta

Role Details

Location: Bellevue, WA (hybrid)

Salary: USD 197,000 - 270,600 per year

Experience: 10+ years

The Okta Experience

Supporting Your Well-Being
Driving Social Impact
Developing Talent and Fostering Connection + Community

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6d ago

Lead Data Engineer

Fiberutilities Group Cedar Rapids, IA

Cedar Rapids, IA

6d ago

Full time Azure Data Factory Azure Sql Data Analysis

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Job Description

Fiberutilities Group (FG) is hiring a Lead Data Engineer for a hybrid role in Cedar Rapids, IA, owning the design and evolution of the company’s data integration ecosystem.

Responsibilities

Own end-to-end architecture and design for FG data integrations
Design, implement, and maintain ETL/ELT pipelines to ingest, transform, and load external data into Azure SQL
Define and enforce data modeling standards, including schemas and data contracts for external data domains
Implement and maintain data quality frameworks
Use ML and advanced methods to improve data cleansing, matching, and enrichment
Establish engineering best practices, including coding standards and review processes for data engineering work

Requirements

7+ years of data architecture and engineering experience
Strong experience designing and building ETL/ELT pipelines in an Azure-centric environment
2+ years of senior or leadership experience
Bachelor’s degree preferred (or equivalent experience)

Technologies

Azure SQL
ETL
ELT
ML

Location

Hybrid remote in Cedar Rapids, IA 52401
Ability to commute to Cedar Rapids, IA 52401 (Required)

Benefits

Health, dental, and vision insurance
Paid time off
401K plan with company match
Life insurance
Eligible for annual bonus
Short-term and long-term disability insurance
Retirement plan
Dental insurance
Health insurance
Vision insurance

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9d ago

Data Scientist/Palantir Data Engineer

ITS Consulting, Inc. Remote 🌍 Remote

Remote

9d ago

$120k - $160k/yr Full time Analytics Anomaly Detection Big Data

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Job Description

Two seasoned data professionals will join ITS Consulting, Inc. as Data Scientists and Palantir Data Engineers to support Navy ERP plus SAP data migration through advanced analytics, data quality initiatives, and Palantir Foundry based migration capabilities.

Responsibilities

Design, build, and maintain Palantir Foundry based data pipelines and analytics assets.
Develop scalable data profiling to evaluate SAP ERP data quality and readiness for migration.
Create automated anomaly detection models to identify inconsistencies, duplicates, and integrity issues.
Implement data cleansing, matching, and standardization workflows to enhance migration quality.
Establish reconciliation controls to verify migrated data for completeness and accuracy.
Build migration dashboards and KPIs to provide real-time metrics to stakeholders.
Partner with SAP, ERP, and business teams to define migration requirements and data quality rules.
Optimize data pipelines for performance, scalability, and reliability.
Support data governance, metadata management, and lineage within Palantir Foundry.
Assist with testing, validation, and deployment of migration analytics solutions.
Document technical designs, data models, and operational procedures.

Requirements

Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or a related technical field.
3+ years of experience in data engineering, data science, analytics, or enterprise data management.
Hands-on experience with Palantir Foundry.
Experience working with SAP ERP data, particularly in migration or modernization initiatives.
Strong SQL skills and experience developing scalable ETL/ELT pipelines.
Proficiency in Python, Spark, or equivalent data engineering technologies.
Active U.S. Secret security clearance (ability to maintain clearance throughout employment).
U.S. citizenship required; dual citizenship not permitted.
Experience with data profiling, data quality assessment, data cleansing, record matching and deduplication, and data reconciliation.
Knowledge of enterprise data modeling and metadata management.
Experience developing dashboards and data visualizations.
Strong analytical, troubleshooting, and problem-solving skills.
Excellent written and verbal communication skills.

Technologies

Palantir Foundry
SAP ERP / SAP S/4HANA
SQL
Python
Apache Spark
ETL/ELT Development
Data Quality Frameworks
Data Profiling
Data Governance
Data Reconciliation
Data Matching & Deduplication
Dashboard Development
Git
REST APIs
AWS, Azure, Google Cloud

Benefits

401(k)
401(k) matching
Flexible schedule
Health insurance
Paid time off
Retirement plan
Vision insurance

What you'll deliver

Scalable Palantir Foundry data engineering solutions
Automated data profiling and anomaly detection capabilities
Data cleansing and matching workflows
Migration reconciliation controls
Executive dashboards and migration metrics
High-quality, trusted data that accelerates Navy ERP plus SAP migration success

Job Type

Job Type: Full-time

Pay

Annual Salary: USD 120,000 - 160,000 per year

Application Question(s)

Question: Do you have a US Citizenship without having a dual citizenship elsewhere?

Education

Education: Bachelor's degree (Preferred)

Work Location

Location: Remote

Preferred Qualifications

Experience supporting Department of Defense (DoD) or U.S. Navy programs.
Familiarity with Navy ERP or large federal ERP modernization efforts.
Experience with SAP S/4HANA migration projects.
Knowledge of Master Data Management (MDM) concepts.
Experience with cloud-based data platforms (AWS, Azure, or Google Cloud).
Familiarity with Agile software development methodologies.
Active Secret or higher security clearance (or ability to obtain one).

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11d ago

Data Engineer, Analytics (Ranking, AI)

Meta Bellevue, WA

Bellevue, WA

11d ago

$177k - $247k/yr Full time .NET Analytics Artificial Intelligence

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Job Description

Meta is seeking a Data Engineer, Analytics (Ranking, AI) to design scalable data architectures, logging frameworks, and data models that enable Ranking AI initiatives across the Ads stack, collaborating with software engineering, data science, and product teams to turn data into growth opportunities for Meta’s 3 billion plus users.

Responsibilities

Own and conceptualize the data architecture for multiple large-scale projects, evaluating design and operational cost-benefit tradeoffs within systems
Create and contribute to frameworks that improve the efficacy of logging data, collaborating with data infrastructure to triage issues and resolve them
Collaborate with engineers, product managers, and data scientists to understand data needs, and present key data insights in a meaningful visual format
Define and manage Service Level Agreements (SLAs) for all data sets in allocated areas of ownership
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Solve challenging data integration problems using optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
Influence product and cross-functional teams to identify data opportunities that drive impact
Mentor team members by giving and receiving actionable feedback

Requirements

Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
7+ years of experience focusing on data, including roles such as data analyst, data scientist, data engineer, or similar
7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others)

Technologies

SQL
Python
C++
C#
Scala

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11d ago

Data Engineer, Product Analytics

Meta Menlo Park, CA

Menlo Park, CA

11d ago

$114k - $173k/yr Full time .NET Analytics Business Intelligence

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Job Description

Data Engineer for Product Analytics at Meta in Menlo Park, CA (onsite), with a salary range of USD 114,000 - 173,000 per year.

Responsibilities

Plan and execute data warehouse initiatives for a product or group of products to address clearly defined problems.
Determine data requirements for business problems and implement the necessary logging to ensure data availability, coordinating with data infrastructure to triage and resolve issues.
Collaborate with engineers, product managers, and data scientists to capture data needs and present key insights in a meaningful way.
Develop domain data expertise and apply privacy, security, compliance, data quality, and operational controls for your areas of ownership.
Design, build, and deploy new data models and visualizations in production using standard development toolkits.
Independently design, build, and deploy new ETL processes in production, mentoring others on efficient querying.
Support existing production processes and implement optimized solutions with limited guidance.
Define and manage service level agreements for data sets in your ownership area.

Requirements

2+ years of experience with SQL, ETL, data modeling, and at least one programming language (for example Python, C++, C#, Scala, or similar).

Technologies

SQL
ETL
Python
C++
C#
Scala

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses.
When Facebook launched in 2004, it changed the way people connect.
Apps like Messenger, Instagram and WhatsApp further empowered billions around the world.
Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
People who choose to build their careers by building with us at Meta help shape a future that wil

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15d ago

Senior Data Engineer, Underwriting Technical Lead

Travelers Hartford, CT

Hartford, CT

15d ago

$139k - $230k/yr Full time Senior Amazon Web Services AWS

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Job Description

The Senior Data Engineer, Underwriting Technical Lead at Travelers drives growth and modernization of the analytics landscape. You will guide team members' development and create data solutions that translate complex information into accessible terms, supporting AI, ML, and business intelligence initiatives. This onsite role is based in Hartford, CT, with a salary range of USD 139,400 - 230,000 per year.

Responsibilities

Build and operationalize complex data solutions, address issues, apply data transformations, and recommend data cleansing and quality improvements.
Design intricate data solutions, incorporating new data sources and ensuring consistency across projects in alignment with data strategies.
Analyze diverse data sources to determine value and applicability, and advise on data to include in analytical processes.
Integrate core data management practices including data governance, data security, and data quality.
Serve as a data and technology subject matter expert within lines of business to support delivery and educate end users on data products and the analytic environment.
Perform data and system analysis, assessment, and resolution for high complexity defects and incidents, applying appropriate corrections.
Collaborate with cross functional teams to support delivery and educate end users on complex data products and analytic environments.
Take on additional duties as assigned.

Requirements

Bachelor’s Degree in a STEM field or equivalent.
Ten years of related experience.
Proven expertise designing, building, and maintaining scalable data pipelines on AWS, with hands on experience with S3, Glue, Redshift, Lambda, and/or EMR.
Proficiency in Databricks, including development and optimization of data workflows and leveraging Lakehouse architecture for large scale data processing.
Solid understanding of AI/ML concepts, with ability to collaborate with data science teams and support deployment or operation of machine learning models within the data ecosystem.
Hands on experience with dbt for data modeling, transformation, and documentation, applying strong software engineering practices to analytics workflows.
Advanced proficiency in PySpark for distributed data processing, capable of writing production grade code for large scale batch and streaming workloads.
Candidates from an Azure environment (Azure Data Factory, Synapse Analytics, Azure Databricks) will be considered if they demonstrate the ability to operate effectively within an AWS based stack.
Willingness to serve in a technical leadership capacity, including mentoring engineers, driving architectural decisions, and partnering with stakeholders across engineering and the business.
Bachelor’s degree in computer science or related STEM field, or equivalent education and/or work experience.
Six additional years of data engineering experience.

Technologies

AWS
S3
Glue
Redshift
Lambda
EMR
Databricks
dbt
PySpark
Azure Data Factory
Synapse Analytics
Azure Databricks

Benefits

Health Insurance
Retirement
Paid Time Off
Wellness Program
Volunteer Encouragement

Employment Practices

Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.

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19d ago

Data Engineer

Energy Domain Fort Worth, TX

Fort Worth, TX

19d ago

$100k - $150k/yr Full time Apache Airflow AWS Cloud Infrastructure

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Job Description

Energy Domain in Fort Worth, TX, is seeking a Data Engineer to design, build, and maintain robust data pipelines, elevate data quality, and translate business needs into technical requirements in a fast paced environment. This hybrid role combines software development with data engineering, offering exposure to AI integrations and scalable data workflows within a dynamic energy-focused context.

Responsibilities

Design, implement, and maintain data pipelines to ingest and normalize data across structured, semi-structured, and unstructured sources.
Assess source data and develop innovative strategies to continually improve data quality and consistency.
Collaborate with developers, business development personnel, and management to understand business needs and translate them into technical requirements.
Ensure code quality, security, and scalability.
Debug and troubleshoot issues promptly.
Participate in code reviews and provide constructive feedback.

Requirements

5+ years of software development experience.
Strong experience with Python, GitHub, Linux, ETL orchestration tools such as Apache Airflow, and AWS.
Significant experience with AI integrations and AI workflows.
Experience building distributed data integrations in production-scale environments.
DevOps experience and practices.
Experience with relational databases.
Strong problem solving skills and attention to detail.
Ability to thrive in a fast-paced environment.
Excellent communication and interpersonal skills.
Must be legally authorized to work in the United States without employer sponsorship now or in the future.