Sr. Data Engineer (Remote)

Inspira Financial Trust, LLC; Indianapolis (IN); Remote; USD 80,000 - 120,000; Full time

Job summary

An innovative financial trust is looking for a talented Data Engineer to join their dynamic team. In this role, you will be responsible for designing scalable data infrastructure and leading initiatives across the data platform. Collaborate with engineers and business stakeholders to create data solutions that drive analytics and reporting functionality. This position emphasizes mentorship, teamwork, and a commitment to high-quality outcomes. If you are passionate about data engineering and thrive in a collaborative environment, this opportunity is perfect for you.

Qualifications

• Expertise in SQL and Python with experience in cloud data warehousing.
• Strong understanding of ETL pipelines and data governance concepts.

Responsibilities

• Lead the development of scalable batch and streaming data pipelines.
• Design and implement CDC strategies and robust ETL workflows.

Skills

SQL

Python

TypeScript

Node.js

Data Governance

Problem-Solving

Communication

Tools

Terraform

Google Cloud Platform (GCP)

ETL Tools

Job description

We are seeking a talented Data Engineer to join our growing team. This role is responsible for collaborating with an experienced team of engineers and business stakeholders to create scalable data platform solutions to support both our internal business analytics and the customer facing reporting functionality of our application. As a Senior Data Engineer, you will play a critical role in designing scalable data infrastructure and leading initiatives across the data platform. You'll mentor other engineers, drive data architecture decisions, and ensure the delivery of high-quality, reliable data solutions. Additionally, we value individuals who are team players, possess a keen eye for detail, and prioritize outcomes over outputs.

Our engineering teams are built on the principle of humans over code. We are a tight-knit group of lifelong learners in a constant quest to be a team that is greater than the sum of its parts. Come join us!

Duties & Responsibilities:

• Lead the development of scalable batch and streaming data pipelines.
• Design and implement CDC strategies and robust ETL workflows.
• Work with software engineers to create data products in a data mesh environment.
• Write and optimize SQL queries for internal analytics and reporting.
• Collaborate with software engineers and business stakeholders to define data contracts and deliver data products in a data mesh environment.
• Manage and evolve our data infrastructure using Terraform and GCP best practices.
• Document data flows, Entity-Relationship Diagrams, and contribute to our data catalog.
• Lead efforts around data modeling, data quality, and data governance
• Ensuring data platform solutions meet data privacy and compliance requirements.
• Participate in peer-reviews of solution designs and code reviews.
• Mentor junior engineers and contribute to team standards and best practices.

Requirements:

• Deep expertise in SQL, Python, experience with TypeScript or Node.js is a plus.
• Solid understanding of cloud data warehousing concepts (preferably in Google Cloud).
• Experience implementing ETL pipelines, and orchestration tools.
• Experience in data mesh, data lake architecture, and data product ownership
• Experience with data governance concepts.
• Strong problem-solving and communication skills.
• Experience with data privacy and compliance requirements.
• Experience working with cross-functional teams and mentoring others.
• Nice to have: experience with MLOps and ML pipeline support.