Data Engineer

Largeton Group

United States

Remote

USD 100,000 - 130,000

Part time

14 days+

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Job summary

A leading technology firm is seeking a Mid-Senior level Data Engineering Lead to manage a team for complex data integration projects. Your responsibilities will include designing data models, developing ETL/ELT pipelines, and ensuring data accuracy. The ideal candidate will have strong SQL and Azure Cloud skills, along with a passion for problem-solving in the healthcare sector. This role allows for remote work for candidates in the EST or CST time zones.

Qualifications

Strong communication skills rated 9/10.
Experience in healthcare industry required.
Familiarity with data warehousing concepts like Kimball and Inmon.

Responsibilities

Lead a team in research and implementation of data engineering projects.
Translate technical requirements into scalable code solutions.
Design and develop robust data integration solutions.

Skills

SQL

Data integration

Problem-solving

Communication

Data modeling

Advanced analytics

Tools

Snowflake

Azure Cloud

Job description

Overview

Lead a team in research and implementation of complex data engineering projects, including multiple data models, maps, and workflows. Act as primary contact for the team, managing prioritization and execution of tasks. Serve as Subject Matter Expert (SME), deeply understanding the data, its structure, and business context. Design, develop, and deliver robust end-to-end data integration solutions following Data Engineering best practices and test-driven development. Translate technical requirements into effective, scalable code solutions. Develop new ETL/ELT pipelines between various source and target systems. Perform unit testing to ensure data accuracy and system reliability. Develop and optimize data models using industry-standard techniques (e.g., slowly changing dimensions, star schemas, data vault). Apply data warehousing concepts, including Kimball and Inmon methodologies, DDS, ODS, and data flow from source systems to BI tools. Utilize advanced SQL skills, including DDL/DML operations, normalization, relational data modeling, ACID transactions, and performance/security best practices. Exhibit strong experience with Snowflake and Azure Cloud technologies. Act independently as a self-starter, proactively identifying and solving problems. Healthcare industry experience required. Strong communication skills (rated 9/10). Remote work for candidates in EST or CST time zones.

Seniority level