"Alerted.org

Job Description

We are seeking a highly capable Data Engineer with strong foundations in Business Intelligence, Data Warehousing, and Analytics Engineering. The ideal candidate brings deep expertise in building and scaling data platforms with a focus on modeling, transformation, and data quality, rather than general-purpose application development. This role is best suited for someone who thrives on ownership, is detail-oriented, and approaches data systems with both discipline and curiosity.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

• 5+ years of professional experience in data engineering, analytics engineering, or BI/data warehousing roles.

• Proven track record of owning and operating scalable data pipelines and delivering high-quality, production-grade data solutions.

• Experience must include hands-on work with SQL, Python, and modern cloud-based data stacks (preferably AWS and Snowflake).

• Expert-level skills in both SQL and Python for data transformation, orchestration, and analysis.

• Strong foundation in data warehousing principles.

• AWS Glue (ETL job development, orchestration, cataloging)

• Amazon SageMaker (model deployment, feature engineering pipelines)

• Comfortable working with key AWS services, including:

o AWS Athena

o Amazon S3

AWS Lambda · Kimball-style dimensional modeling

• Snowflake

Google Cloud