Senior Data Engineer — Data Pipelines & Insights

Relha LLC; Seattle, Northern (WA, KY); Hybrid; USD 155,000 - 209,000; Full time

Benefits offered by this job

RSUs

Sign-on bonus

Health insurance

Job summary

Relha LLC in the United States seeks a Senior Data Engineer to partner with customers, design data pipelines, and deliver reliable reporting that informs strategic decisions across the business.

You will own data delivery, build scalable pipelines, work with AWS infrastructure teams, and mentor others while guiding long-term data strategy in a high-visibility role.

Strong SQL, ETL, data modeling and BI tooling experience are required, with 5+ years in data engineering.

Qualifications

• 5+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.
• Hands-on experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages.
• Proficiency in SQL and Data Analysis.

Responsibilities

• Partner with key customers to understand their data and metrics reporting requirements.
• Collaborate with engineering teams to source data from systems they own, and build team-owned data stores when needed.
• Design and build data pipelines and reporting solutions that harness that data.
• Own delivery and reliability — ensuring quality data and reports reach customers on time and can be trusted for business decision-making.

Skills

Data modeling

ETL pipelines

SQL

Python/Java/Scala/NodeJS

Data visualization

Tools

BI tools

Job description

Relha LLC in the United States seeks a Senior Data Engineer to partner with customers, design data pipelines, and deliver reliable reporting that informs strategic decisions across the business.

You will own data delivery, build scalable pipelines, work with AWS infrastructure teams, and mentor others while guiding long-term data strategy in a high-visibility role.

Strong SQL, ETL, data modeling and BI tooling experience are required, with 5+ years in data engineering.