Data Engineer Job Tumwater area,Washington USA,IT/Tech

in this role, you will own data a slice of it. Not the reporting piece. All of it: where it comes from, what shape it is in, where it lives, and whether it can be trusted. You are the person who makes data actionable for the business.

you will work closely with our full stack developer on pipeline and integration work, and directly with business stakeholders to understand what they need to make decisions. You will spend a significant portion of your time cleaning, validating, and transforming data so that when a report goes in front of a leader, the numbers are right and the story is clear.

If you are the kind of person who gets bothered by a broken data feed, who cannot leave a messy schema alone, and who gets satisfaction from turning chaos into something someone can actually use: this role is for you.

key responsibilities data quality and integrity

identifying, investigating, and resolving data quality issues across all connected systems
building and maintaining validation frameworks so bad data gets caught before it reaches reports
establishing and documenting data standards, naming conventions, and transformation rules
being the person stakeholders call when the numbers do not match

data lake and pipeline work

managing data ingestion into the data lake from multiple source systems
designing and maintaining transformation pipelines that produce clean, structured, report-ready data
collaborating with the full stack developer on integration design where pipelines connect to application logic
monitoring pipeline health, catching failures early, and keeping things running

reporting and analytics

building and maintaining power bi reports and dashboards that get used, not shelved
working directly with stakeholders to translate business questions into data models and visualizations
owning the reporting layer: if a report is wrong, stale, or confusing, that is your problem to fix
surfacing insights proactively, not just waiting to be asked

data architecture and documentation

contributing to the ongoing design of terrafirma's data lake architecture
documenting data sources, schemas, transformation logic, and lineage so the team is not dependent on tribal knowledge
partnering with it leadership on the long-term data strategy for the organization

experience and education requirements

3+ years working in a data-focused role with real ownership of data quality and reporting
demonstrated ability to take messy, inconsistent source data and produce something clean and trustworthy
strong sql: not just select statements, but complex joins, window functions, and performance tuning
power bi proficiency: you have built reports that people actually use to make decisions
python for data work: scripting, transformation, automation
clear communicator: you can explain a data discrepancy to a finance leader without making it a technical lecture
power bi: advanced report and dashboard development, dax, data modeling, and row-level security
azure: data factory, blob storage, synapse, or equivalent pipeline and lake tooling
microsoft 365 and dynamics 365 / business central as primary data source systems
sql: strong query skills, stored procedures, schema design, and optimization

beyond microsoft, we expect:

etl/elt design: you understand the difference, know when to use each, and can build both
data lake concepts: partitioning, schema-on-read vs schema-on-write, medallion architecture or equivalent
git and version control: your pipelines and transformation logic live in source control, not just in a tool ui
power query / m: for lighter transformations and report-layer data shaping
experience with rest apis and json: you will be pulling data from systems that expose apis, not just databases

this job description is intended to describe the…