DATA ENGINEER
AIRLINE COMPANY
GREATER SEATTLE AREA, WA
$78.28-$82.73, $13,777-$14,560 /month COMPENSATION RATE (depending on experience)
PLEASE NOTE: This role is not open to Corp to Corp.
OUR COMPANY – MURPHY & ASSOCIATES
Murphy & Associates has had the privilege of providing technology and business consulting services to over 150 diverse clients in the Greater Seattle Area since 1980. We take great pride in our full disclosure model and low margins which attracts top tier talent. We are transparent with our employees. Our business model fosters loyalty, satisfaction, and consistent delivery of quality services from the consultants on our team. Through it all, Murphy & Associates has stayed true to its roots, partnering with highly qualified technology and business consultants and working closely with our clients, fairly and ethically.
THE CLIENT
Our client is a large airline company based in the Greater Seattle Area.
DATA ENGINEER
Role Summary: This is on the Data Services team as part of the integration project. The team will do the ELT, data engineering needed to either migrate client from Oracle to Databricks Lakehouse immediately, and then to integrate HA data system into our client data systems long term. For the immediate need, the team will work on a project for the Analytics Community, who are creating critical Dashboards to Divisional Leaders as a part of monitoring the client integration.
Responsibilities
- Plays a lead role in the areas of ETL design, data modeling, and ETL development.
- Facilitates best practice guidelines around all stages of development.
- Provides technical leadership to serve as point of escalation, review, and approval for key issues, significant projects, and decisions.
- Able to work with stakeholders, and translate requirements to design and build a solution that will meet Business needs and integrate seamlessly with the EDW.
- Gain team and stakeholder approval for all designs, and effort estimates.
- Research and analyze current systems, subsystems and interfaces to understand the current or new process flow.
- Document work via Functional and Tech Specs.
- Develop unit tests, performance tests, and take into account security requirements.
- Prepare and participate in design and code reviews.
- Analyzes processes for gaps and weaknesses, building future state models and creating the roadmaps and migration plans to get there.
- Communicate progress and work using the Agile Methodology
YOUR SKILLS AND EXPERIENCE
Required Skills
- Databricks, IDMC, ODI, strong SQL, data warehousing/ELT experience.
- 5+ years of experience of with Oracle
- 5+ years of experience with Data Warehousing: building relational databases, star schemas
- 5+ years of experience with Data Modeling
- 4+ years of experience with ODI (Oracle Data Integrator Tool) or Informatica IDMC.
- 3+ years of experience with Databricks Lakehouse and/or Delta tables.
- 2+ years of experience in the design, implementation, and support of a Kimball method data warehouse on SQL Server or Oracle
- Strong SQL reading and writing skills
- Business and/or technical background in the areas of Data Integration (ETL), Data Security, and Enterprise Data Warehouse development
- Experience in Change Management, Release Management, and Source Code control practices
- A Bachelor of Arts or a Bachelor of Science degree, with a focus in computer science, systems analysis, or a related area, is preferred.
WORK ENVIRONMENT
Duration: 10/7 to start, to run through 6/2025, with chance to extend.
Location: SeaTac, WA Role is hybrid onsite, 3 days in the office.
Daily Schedule: M-F, 40 hours a week, no OT anticipated.
Hardware: Client will provide.
Role Requirements: Client requires a background test & a drug screen before start.
BENEFITS
We offer the opportunity to participate in health, dental, and vision insurance, along with a 401k.
HOW TO APPLY
Please register your interest by applying here with your LinkedIn profile.
KEYWORDS
Data engineer, greater seattle area, hybrid onsite, seatac, airlines, airline industry, airlines and aviation, oracle, data modeling, SQL, ETL experience