Data Lineage

Data Lineage Developer Jobs

4 jobs found

1mo ago

Senior Data Engineer

Matlen Silver Chandler, AZ

Chandler, AZ

1mo ago Closed

$60 - $65/hr Contract Senior Artificial Intelligence Data Engineer

This position is no longer accepting applications (closed Sep 17, 2026).

Job Description

Matlen Silver is hiring a Senior Data Engineer for an ongoing 18-month engagement (Project SPARTAN) in Chandler, AZ with hybrid scheduling.

Responsibilities

Implement data management best practices across complex enterprise environments
Develop, govern, and improve structured and unstructured data and knowledge foundations for AI and agentic capabilities
Build data foundation capabilities including data quality, governance, lineage, and metadata
Drive data modeling and normalization to support scalable data assets
Develop and support ETL and data pipelines
Prepare data and knowledge assets for AI consumption
Partner with engineering, architecture, operations, governance teams, and subject matter experts

Requirements

Senior-level experience implementing data management best practices
Strong experience with MySQL and Oracle Database
Hands-on Python experience
Experience with ETL tools, specifically Informatica
Strong SQL Server experience
Experience with Teradata
Strong understanding of data modeling and normalization
Experience developing and implementing data quality controls, validation, and remediation
Experience with data governance, metadata, lineage, ownership, and data freshness
Experience working with structured and unstructured data
Strong analytical and problem-solving skills
Ability to work cross-functionally with technical and business stakeholders

Technologies

MySQL
Oracle Database
Python
Informatica
SQL Server
Teradata

Desired Skills

Experience with Nateeza
Experience using AI tools
Knowledge of AI-ready data and knowledge management
Experience preparing data for AI, automation, search, or analytics
Understanding of AI grounding, context structuring, and metadata quality
Experience with network technologies or infrastructure environments
Experience creating reusable data standards, templates, controls, and documentation

Project Details

Project: Ongoing project, Project SPARTAN
Duration: 18 months
Location: Chandler, AZ
Schedule: Hybrid, 3 days onsite per week
Remote: Not available
Employment: W2 only

Pay

USD 60 - 65 per hourly

Benefits

Health, vision, and dental insurance (single and family coverage)
401(k) plan (employee contributions only)

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1mo ago

Principal Data Engineer, People Data

Okta Washington, DC

Washington, DC

1mo ago Closed

$197k - $271k/yr Full time Big Data Data Analysis Data Architecture

This position is no longer accepting applications (closed Sep 11, 2026).

Job Description

Okta is seeking a Principal Data Engineer, People Data to architect and operate scalable data solutions that power candidate and employee lifecycle insights across the HR and People organization.

Responsibilities

Design, build, and evolve high-scale data solutions that act as the organization’s reference architecture and make data access simpler
Create data quality frameworks including monitoring, anomaly detection, and alerting, with governance, lineage tracking, and change management rigor for externally reported metrics
Standardize data modeling patterns, naming conventions, documentation practices, and metric governance across the data organization
Lead cross-functional technical initiatives across data verticals to accelerate delivery and harden data systems
Make sound technical decisions in ambiguous environments by balancing short-term delivery with long-term infrastructure investment
Champion Data Contracts by implementing data contracts and schema evolution practices to improve reliability across global product teams
Mentor and scale engineering capability by mentoring senior engineers, leading cross-functional task forces, and fostering a data-driven engineering culture
Stay current on the data landscape and advocate for emerging technologies and practices to shape long-term technical direction

Requirements

10+ years in data engineering with senior or lead experience
Federal government compliance and security requirements experience is highly desirable
Expert-level experience with SQL and ETL/ELT tooling including Airflow and dbt
Proven hands-on experience with MPP databases including Snowflake and Redshift
Extensive hands-on experience with AWS services including S3, Lambda, EMR, ECR, and EKS
People Data expertise focused on HR data: candidate lifecycle, employee records, compensation, and organizational data
Experience designing data models for recruiting analytics, engagement signals, and workforce planning metrics
Familiarity with Workday data structures is a plus
Experience building and maintaining batch and real-time pipelines using technologies such as Spark and Kafka
Deep experience with modern lakehouse and warehouse architectures such as Databricks and Snowflake, plus modern file formats like Iceberg and Delta
Demonstrated ability to integrate AI tools to optimize or redesign workflows and drive measurable impact (efficiency gains, quality improvements)
Track record of hands-on collaboration with Data Science, Business, and Product teams

Skills & Technologies

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

Location & Compensation

Location: Washington, DC (hybrid)
Salary: USD 197,000 - 270,600 per year

The Okta Experience

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

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1mo ago

Data Engineer II, AWS Analytics Engineering

Amazon Development Center U.S., Inc. Seattle, WA

Seattle, WA

1mo ago Closed

$132k - $179k/yr Full time Amazon Emr Amazon Web Services AWS

This position is no longer accepting applications (closed Aug 27, 2026).

Job Description

Data Engineer II in Seattle, onsite, to design, build, and operate the next generation data ingestion platform for AWS Analytics Engineering, enabling automatic onboarding of data from new AWS services at scale.

Location: Seattle, WA (onsite)

Salary: USD 132,100 - 178,800 per year

Education: Bachelor's degree

Responsibilities

Architect and run the next generation ingestion service that auto onboards data from new AWS services or features at launch with no manual setup.
Develop scalable ingestion frameworks capable of handling petabytes of data.
Build big data procurement pipelines to support analytics workloads.
Institute governance, compliance, and audit controls to ensure data meets security and integrity standards.
Ensure the platform scales to multiple services and supports event driven architectures, self registration, and configuration driven onboarding with full lineage and audit trails.
Lay the foundational layer that enables all analytics capabilities across AWS Analytics Engineering.

Requirements

5+ years of data engineering experience.
3+ years of developing and operating large scale BI data structures for analytics using ETL/ELT processes.
3+ years of developing and operating large scale BI data structures with data modeling experience.
3+ years of SQL experience.
Experience with data modeling, warehousing, and building ETL pipelines.
Proficiency in at least one modern programming language such as Python, Ruby, Golang, Java, C++, C#, or Rust.
Experience with enterprise scale infrastructure or cloud programs/projects in a related industry.
Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT, or equivalent.
Experience implementing data governance controls including access management, encryption, data classification, and audit logging.

Technologies

Programming languages: Python, Ruby, Golang, Java, C++, C#, Rust
Data and cloud tech: AWS Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, IAM, RDS

Benefits

Health insurance (medical, dental, vision, prescription) and Basic Life & AD&D with option for supplemental life plans
Mental Health Support
EAP (Employee Assistance Program)
Medical Advice Line
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave

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1mo ago

Data Engineer II

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

1mo ago Closed

$132k - $179k/yr Full time Amazon Emr Analytics Artificial Intelligence

This position is no longer accepting applications (closed Aug 18, 2026).

Job Description

Amazon.com Services LLC seeks a Data Engineer II to design, build, and operate production SQL data pipelines in a cloud data warehouse, while contributing to a semantic layer that enables AI driven analytics at enterprise scale.

Location

Bellevue, WA (onsite)

Compensation

USD 132,100 - 178,800 per year

Responsibilities

Design, implement, and operate production SQL pipelines in a cloud data warehouse to handle large volumes of daily operational data with reliability, freshness, and observability.
Model entity schemas, define metric formulas, and own end-to-end data lineage from raw sources through transformations to consumption.
Ship features across backend services and frontend UI for the team's tools, enabling data capture, review, and action at the source.
Contribute to a semantic layer encoding business context for AI agents to consume.
Collaborate with business stakeholders to translate operational expertise into structured, machine-readable definitions.
Own the operational health of what you build, including production alerts, on-call responsibilities, ticket intake, and access controls such as row-level security, plus pipeline observability.
Design, build, and operate production data pipelines that process daily operational data from multiple upstream sources with strong reliability and observability.
Ensure downstream consumers and AI agents can trust numbers by maintaining end-to-end data lineage from source to consumption.
Contribute to full-stack web applications used by business teams, shipping features across backend services and frontend UI to make data captureable, reviewable, and actionable at the source.
Extend the semantic layer with version-controlled definitions of metrics, entities, relationships, and business context so operational knowledge lives in code and can be consumed by AI agents and LLM-based tools.
Partner with business stakeholders to translate domain knowledge into structured, machine-readable definitions and tables.
Continuously seek opportunities to reduce manual analysis by moving the platform toward natural language interfaces, richer entity relationships, and more autonomous investigation.
Explore emerging techniques in semantic data modeling, knowledge representation, retrieval, and prompt engineering to improve how AI systems reason over our data.
Write design docs, scope documents, and runbooks that make the team's work reviewable, maintainable, and durable.

Requirements

3+ years of data engineering experience.
Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or related fields, or 3+ years of professional software development experience.
Experience with one or more object oriented programming languages (for example Java, C/C++, Python).
Experience with data warehouse technical architectures, data modeling, infrastructure components, ETL/ELT and reporting/analytic tools and environments, data structures, and hands-on SQL coding.
Experience with Redshift, Oracle, NoSQL, etc.

Technologies

SQL
Python
Java
C
C++
Redshift
Oracle
NoSQL
S3
AWS Glue
EMR
Kinesis
FireHose
Lambda
IAM

Benefits

Health insurance
401(k) matching
Paid time off
Parental leave

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Data Lineage Developer Jobs

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