Washington

Data Jobs in Washington

115 jobs found

Include remote jobs

26d ago

Medicaid Transformation Fiscal Information Data Analyst (WMS2/FSD) - Project

State of Washington Olympia, WA

Olympia, WA

26d ago

$81k - $114k/yr Full time Analyst Budget Analysis Budget Management

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Job Description

What we offer

Meaningful work with a friendly team that cares about Washington residents
A clear agency mission that centers on people and is guided by core values
Healthy work life balance with flexible schedules and mobile work options
Strong total compensation and comprehensive state benefits
A safe, pleasant workplace in a convenient location with nearby restaurants and shopping
Free parking on site

The Medicaid Transformation Fiscal Information Data Analyst supports the Medicaid Transformation Project by tracking a budget of about $2.5 billion over the biennium and providing leadership with regular financial reporting. This hybrid role is based in Olympia, WA, with telework eligibility and on site requirements for training and as needed.

Responsibilities

Apply advanced budgeting, research, and analytic expertise to the Medicaid Transformation Waiver
Prepare and submit financial reports to demonstrate compliance with HCA and CMS reporting requirements
Develop budgets for waiver administration, services, and transformation projects, including drafting decision packages, cost models, and budget allotments
Review and approve agency budget requests related to project staffing and contracts
Track and report waiver expenditures against established budgets
Monitor and calculate Intergovernmental Transfer IGT activity used to fund project expenditures
Present regular financial updates to Medicaid Transformation Project leadership
Conduct highly specialized research and data analysis to ensure adequate funding for waiver administration, services, and transformation initiatives, in coordination with the Demonstration Finance Section Manager

About the Financial Services Division

The Financial Services Division partners with other HCA divisions and external stakeholders to provide strategic financial guidance for Apple Health, CBH, PEBB, and SEBB programs. FSD also oversees budgeting and compliance functions for Washington State's largest operating budget.

About the position

The Medicaid Transformation Fiscal Information Data Analyst conducts research and fiscal analyses of a highly specialized nature across agency divisions to ensure accurate budgeting, monitoring, and reporting of 1115 Medicaid Transformation funds. The role manages the administrative and services budgets for assigned MTP programs and exercises independent judgment in budgeting and monitoring activities.

Location and work arrangement

Location: Olympia, WA. Hybrid work arrangement with the possibility of telework; on-site presence required one day per week during training and as needed.

Compensation

Salary range: USD 81,348 - 113,880 per year.

About HCA

The Washington State Health Care Authority is the state's largest health care purchaser and behavioral health authority, guiding efforts to help residents stay healthier and access essential services.

Supplemental information

Prior to employment, a background check including criminal history will be conducted. Results from the background check will not automatically disqualify a candidate.

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26d ago

Reliability Analytics Engineer

Amazon.com Services LLC Seattle, WA

Seattle, WA

26d ago

$117k - $160k/yr Full time Amazon Emr Amazon Rds Amazon Web Services

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Job Description

Amazon.com Services LLC is seeking a Reliability Analytics Engineer to blend hands-on reliability work with a strong data systems mindset. The role is onsite in Seattle, WA, with a salary range of USD 117,300 to 160,000 per year. This position concentrates on reliability data analytics, defining data pipelines, and building tools and dashboards to support reliability across Amazon Robotics fleets, scaling evaluation across multiple product programs.

Responsibilities

Articulate data requirements and specifications for reliability pipelines, partnering with data engineering teams to design and validate ETL processes that ingest field failures, test data, and product telemetry from enterprise data lakes and EAM systems.
Cleanse, validate, and prepare reliability datasets (including censored life data, field service records, and accelerated test results) to ensure accurate assessments before they inform engineering decisions.
Translate reliability engineering questions into data queries and assessment workflows, converting ambiguous problems into repeatable, scalable evaluation methods that other engineers can reuse.
Develop and maintain reliability-focused assessment tools and automation using Python, AI/ML, and statistical libraries, such as automated failure mode classification, survival assessment calculators, and fleet health monitoring scripts.
Define dashboard requirements for reliability KPIs (availability, MTBF, MTTR, and failure rate trends); build prototypes and operationalize production dashboards.
Identify data gaps, define collection requirements for new failure modes or test programs, and collaborate with hardware test and field teams to close data gaps.
Establish data governance practices for reliability datasets, including metadata standards, version control, and traceability to source systems to ensure reproducible and auditable assessment findings.

Requirements

BS degree in mechanical engineering or equivalent
3+ years of experience in mechanical engineering or equivalent
Experience with data analysis tools such as Advanced Excel, SQL, Tableau, Python
Experience applying basic statistical methods (e.g., regression) to challenging business problems

Technologies

Python
SQL
Tableau
Advanced Excel
AWS S3
AWS Redshift
AWS EMR
AWS RDS
Reliasoft
Minitab
JMP
AI/ML

Benefits

Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan

A Day In The Life

Run Mean Cumulative Function (MCF) and Weibull analyses on robot fleets to verify suspensions before sharing results with the reliability team.
Collaborate with data engineers to define telemetry pipeline requirements, including required fields, censoring rules, and output schemas.
Develop Python tools that automate reliability growth tracking from the data lake, apply models, and generate standard reports accessible to engineers.
Provide failure rate data by subsystem to support DFMEA exercises.
Refine machine learning classifiers that auto-tag field failure tickets by mode, improving accuracy with sustaining team feedback.
Operate as a reliability engineer who understands repairable systems, physics-of-failure, and life data.
Differentiate through scaling expertise by building data tools, automation, and AI that the entire team can run。

About The Team

Amazon Robotics Reliability Engineering is a multidisciplinary group of engineers united by a drive to astonish customers by solving complex optimization challenges. The team thrives on ambiguity, moves quickly, and supports one another’s growth.

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26d ago

Project - Data Engineer

Deloitte Bellevue, WA

Bellevue, WA

26d ago

$57k - $96k/yr Full time Analytics Azure Data Factory Big Data

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Job Description

Deloitte is seeking a Data Engineer to join the Project Delivery Model, building and refining data pipelines that transform raw data into analytics-ready datasets on AWS and Snowflake. This onsite role based in Bellevue, WA collaborates with analysts, product owners, and source-system teams to deliver impactful data solutions, with a salary range of USD 57,300 to 95,500 per year and a bachelor’s degree as the baseline requirement.

Responsibilities

Design and enhance data pipelines on AWS using Python to ingest, transform, and deliver data to Snowflake and downstream consumers.
Create and maintain Snowflake objects (schemas, tables, views) and develop performant SQL transformations to produce curated datasets ready for analytics.
Implement workflow automation and scheduling with dependencies, retries, and logging using tools such as Airflow/MWAA, Step Functions, or Glue.
Apply data quality checks and basic observability, support incident triage and remediation, and ensure data integrity across pipelines.
Optimize pipeline and query performance with guidance on efficient Python practices, S3 partitioning and formats, and Snowflake warehouse usage and tuning.
Adhere to CI/CD and IaC standards, including Git-based workflows and Terraform or CloudFormation changes to promote code across environments.
Collaborate with analysts, product owners, and source-system teams to clarify requirements, validate outputs, and participate in sprint ceremonies and estimations.
Contribute to code reviews, unit tests, and peer debugging while applying team engineering standards and best practices.
Maintain regular communication with Engagement Managers, project team members, and cross-functional stakeholders, escalating issues as needed for engagement management.
Lead client engagement workstreams independently or collaboratively, driving process improvements, optimization, and transformation using leading practice workflows and quality improvements.

Requirements

1+ year of experience building or enhancing data pipelines and curated datasets for analytics or downstream consumption.
1+ year of hands-on SQL and Python experience, including Snowflake and/or PySpark for transformations and scalable processing.
1+ year of cloud data engineering experience on AWS (preferred) or Azure/GCP, including orchestration/scheduling (Airflow/MWAA, Step Functions, Glue, ADF/Fabric Data Factory).
Understanding of ELT patterns and Lakehouse/warehouse concepts; familiarity with S3 file formats and partitioning (Parquet/Delta).
Working knowledge of DevOps practices (Git-based workflows, CI/CD) and exposure to Infrastructure-as-Code (Terraform/CloudFormation).
Understanding of data quality, basic observability, and metadata/governance fundamentals.
Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or related IT discipline, or equivalent experience.
Limited immigration sponsorship may be available.
Ability to travel approximately 10% depending on client engagements.

Technologies

AWS
Python
Snowflake
SQL
PySpark
Airflow
MWAA
Step Functions
Glue
Terraform
CloudFormation
Amazon S3
Parquet
Delta Lake
Azure Data Factory (ADF)
Fabric Data Factory
Git

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28d ago

Data Analyst - Temporary

Renton Technical College Renton, WA 📍 WA Remote

Renton, WA

28d ago

$36 - $45/hr Part time Analyst Analytical Skills Analytics

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Job Description

Temporary, remote, part-time Data Analyst position at Renton Technical College in Renton, WA, with approximately 10-15 hours per week from July 2026 through September 2026, and Washington residency required.

Responsibilities

Respond to ad hoc data requests from college departments.
Write and modify SQL queries to extract data from institutional systems.
Clean, validate, and organize data for analysis.
Create Excel-based reports and data files.
Build or update Tableau dashboards and visualizations.
Assist with institutional, grant, and other reporting projects.
Document queries and reporting processes as needed.
Perform other related projects and assignments as assigned.

Requirements

Experience as a data analyst.
Experience working with higher education data.
Residency in the state of Washington.
Availability for approximately 10-15 hours per week between July 2026 and September 2026.
Proficiency in SQL.
Proficiency in Excel-based reporting.
Ability to build or update Tableau dashboards.

Technologies

SQL
Excel
Tableau

Supplemental Information

In the interest of providing a healthy, safe and secure educational and work environment, and in order to meet the requirements of federal legislation, it is the policy of Renton Technical College to maintain an alcohol and drug-free workplace for our employees and students.

EEO Statement

Renton Technical College provides equal opportunity in education and employment and does not discriminate on the basis of race, color national origin, age, perceived or actual physical or mental disability, pregnancy, genetic information, sex, sexual orientation, gender identity, marital status, creed, religion, honorably discharged veterans or military status, or use of a trained guide dog or service animal, as required by Title VI of the Civil Rights Act of 1964, Title VII of the Civil Rights

Jeanne Clery Statement

Notice of Availability of Annual Security and Fire Safety Report: In compliance with Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act of 1998, and as a part of the College's commitment to safety and security on campus, Renton Technical College reports the mandate information about current campus policies concerning safety and security issues, the required statistics, and other related information for the past three (3) calendar years. Renton Technical College's Annual S

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28d ago

Sr. Data Engineer, Amazon Fuse

Amazon.com Services LLC Seattle, WA

Seattle, WA

28d ago

$155k - $209k/yr Full time Amazon Emr Amazon Web Services Analytics

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Job Description

Senior Data Engineer on Amazon Fuse's Data Analytics team, focused on building scalable data pipelines and embedding AI into data workflows to influence Fuse's decisions with data-driven insights. This onsite role is based in Seattle, WA, with a salary range of USD 154,600 to 209,100 per year.

Responsibilities

Design, implement, and maintain scalable data platforms and end-to-end data pipelines, integrating AI tooling to accelerate development and enhance code quality.
Ingest data from diverse sources using SQL, scripting, and AWS big data technologies to support analytics needs.
Develop ETL processes and BI solutions, identifying opportunities to weave AI into data workflows such as data validation and transformation logic.
Collaborate with product owners, software development engineers, and BI engineers to explore new data sources and deliver actionable insights.
Stay current with advances in big data and AI technologies and contribute to pilot projects.
Proactively identify and resolve data issues to reduce operational load, applying AI-assisted automation where appropriate.

Requirements

More than seven years of data engineering experience.
Experience with data modeling, data warehousing, and building ETL pipelines.
Strong SQL proficiency.
Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.
Experience mentoring team members on engineering best practices.

Technologies

SQL
Python
Java
Scala
NodeJS
AWS big data technologies
Hadoop
Hive
Spark
EMR
AI tools including coding assistants and generative AI

Benefits

Health coverage including medical, dental, vision, and prescription, plus Basic Life and AD&D insurance with optional supplemental life plans; access to EAP, mental health support, Medical Advice Line, Flexible Spending Accounts, and Adoption and Surrogacy Reimbursement.
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)

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28d ago

Senior Data Engineer

Amazon.com Services LLC Seattle, WA

Seattle, WA

28d ago

$155k - $209k/yr Full time Senior Amazon Emr Amazon Web Services

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Job Description

Based in Seattle, this onsite Senior Data Engineer role at Amazon.com Services LLC (Prime Video) centers on large-scale data warehousing, ETL, and data access using AWS. You will design scalable data systems and collaborate with both business and technical teams to solve complex problems. The position offers a competitive salary range of USD 154,600 to 209,100 per year, a strong benefits package, and a culture that values collaboration and operational excellence. Your contributions will influence day-to-day decision making across the team.

Benefits

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

Responsibilities

Address large-scale data warehousing challenges by leveraging AWS services to optimize big data processing, data warehouse design, and self-service data access
Contribute to automation and optimization efforts across DW and ETL maintenance and deployment
Partner with business and technical teams to tackle non-standard problems, applying creative problem solving to deliver actionable outputs
Build systems and tools to process data with scalable, efficient technologies that handle seasonal spikes
Influence day-to-day decision making within the team through reliable data solutions

Requirements

5+ years of data engineering experience
Experience with data modeling, warehousing, and building ETL pipelines
Experience with SQL
Experience in at least one modern programming or scripting language such as Python, Java, Scala, or NodeJS
Experience mentoring team members on best practices

Technologies

AWS, Redshift, Hadoop, Hive, Spark, EMR
SQL, Python, Java, Scala, NodeJS

About Prime Video

Prime Video is a premium streaming service offering a vast library of movies and TV shows, including Originals and Exclusive content, along with live sports. The role supports shaping the future of how customers discover and watch content, contributing to the next generation of streaming experiences for Amazon customers.

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28d ago

Data Engineer, Ads Science Analysis & Tech (ASAT)

Amazon.com Services LLC Seattle, WA

Seattle, WA

28d ago

$111k - $185k/yr Full time Ad Tech Analytics Business Analytics

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Job Description

Join the Ads Science Analysis & Tech (ASAT) team at Amazon Ads in Seattle. This onsite data engineering role focuses on building analytics tools to trace complex data flows and convert deep-dive analyses into actionable insights for product teams, with a salary range of USD 111,400 to 185,000 per year. The role offers strong benefits, including comprehensive health coverage, 401(k) matching, paid time off, parental leave, and sign-on with restricted stock units. The position requires a bachelor's degree and at least one year of data engineering experience, and your work can influence bidding algorithms, targeting decisions, and feature releases.

Responsibilities

Analyze data trends related to supply, optimization, ad load, and mix effects to measure advertiser performance and support progress toward advertiser goals
Present findings to senior leaders on topics such as feature development impact on identity recognition rates and changes to ad selection systems to improve fill rate, guiding business and engineering roadmaps
Formalize analytics approaches for Ads auctions by examining bid spreads, auction depth, and simulating the potential impact of alternative auction structures
Identify, standardize, and operationalize KPIs to gauge the performance of all ad-serving components, using trends to inform business priorities
Collaborate with engineering to define data logging requirements and secure prioritization on roadmaps
Validate financial models through rigorous analysis
Develop and maintain ad revenue and supply intelligence dashboards that deliver ongoing, in-depth insights

Requirements

Minimum 1 year of data engineering experience
Proficiency with SQL
Experience in data modeling, warehousing, and building ETL pipelines
Bachelor's degree

Technologies

SQL
GitHub

Benefits

Comprehensive health coverage including medical, dental, vision, prescription, Basic Life and AD&D, with optional Supplemental life plans, EAP, mental health support, Medical Advice Line, Flexible Spending Accounts, and Adoption and Surrogacy reimbursement
401(k) with company matching
Paid time off and parental leave
Sign-on payments and restricted stock units (RSUs)

A day in the life

In this role you will collaborate with business leaders and engineers to design data architectures that enable consistent logging across data grains and ensure interoperability from bid flow through optimization to campaign delivery. You will analyze the data and circulate papers and ongoing reports that translate findings into actionable guidance.

About the team

The Ads Science Product Team aims to equip product stakeholders with objective analysis and practical business logic to uncover insights, inform strategic decisions, and adapt to industry changes.