Data Engineer

Jahnel Group•Schenectady, NY

14d•$100,000 - $140,000•Remote

About The Position

Jahnel Group’s mission is to provide the absolute best environment for software creators to pursue their passion by connecting them with great clients doing meaningful work. We get to build some of the most complex and compelling applications for our clients located across the country. We’re a fast-growing INC 5000 recognized company, yet we still work as a very close-knit team (100+ employees). We’re growing like crazy, and if you’re looking for the next place to call home, hit us up for a beer or coffee. Who We’re Looking For We are seeking a Data Engineer with strong cloud and data platform experience to design, build, and maintain scalable data solutions that support analytics, reporting, and data-driven decision-making. This role sits at the intersection of infrastructure, data modeling, and analytics enablement. For more senior candidates, this position may include technical leadership, architectural ownership, and mentorship responsibilities.

Requirements

5+ years of experience as a Data Engineer or in a similar role.
Strong proficiency in SQL and data modeling concepts.
Hands-on experience with Snowflake or similar cloud data warehouses.
Experience building and operating data pipelines in AWS (e.g., S3, Lambda, Glue, Redshift, MSK, etc.).
Proficiency with Python or a similar language for data engineering tasks.
Experience with ETL/ELT frameworks and orchestration tools (e.g., Airflow, dbt).
Solid understanding of data reliability, security, and governance best practices.
Experience working in Agile development environments.
Strong communication skills and comfort working in client-facing setting.

Nice To Haves

Experience with GCP data services (BigQuery, Dataflow, Pub/Sub).
Exposure to real-time or streaming data systems (Kafka, MSK, Pub/Sub).
Prior technical leadership or mentorship experience.
Familiarity with containerization or orchestration tools (Docker, Kubernetes).
Experience supporting analytics, BI, or machine learning use cases.
Cloud or data engineering certifications.

Responsibilities

Design, build, and maintain scalable, cloud-based data pipelines and platforms.
Develop and optimize batch and event-driven data workflows primarily in AWS.
Build and manage data warehousing solutions using Snowflake.
Ensure data quality, reliability, security, and performance across pipelines and platforms.
Partner with analytics, product, and client stakeholders to translate business needs into data solutions.
Design and implement data models that support analytics, reporting, and downstream applications.
Collaborate with DevOps and platform teams to deploy production-ready data systems.
Monitor, troubleshoot, and improve data pipeline performance and cost efficiency.