Senior Data Engineer

eSense Incorporated; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

eSense Incorporated seeks a senior data engineer to shape enterprise data warehousing initiatives, build scalable ETL pipelines, and optimize analytics platforms in a fast-paced environment.

You will leverage Informatica, Teradata, Python, Spark, and Snowflake to deliver dependable data solutions, collaborate with cross-functional teams, and ensure data quality and reliability.

Qualifications

• 5+ years of data engineering experience with focus on enterprise data warehousing.
• 5+ years of ETL development using Informatica PowerCenter, Teradata, Azure Data Factory, or similar tools.
• 5+ years of Python development for data engineering and automation.
• 5+ years of Teradata experience, including Teradata loader utilities.
• 3+ years of experience with Spark-based processing frameworks (Databricks or equivalent).
• Solid SQL expertise and experience with relational databases (Snowflake, Oracle, SQL Server).
• 3+ years of experience with Snowflake using SnowSQL and Snowpark (Python).
• Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD).
• Proven solid analytical, problem-solving, and troubleshooting skills.
• Periodic travel may be required based on project or customer needs.

Skills

Data engineering

Python development

SQL expertise

Troubleshooting skills

Analytical/problem-solving

Teradata experience

Spark processing

Enterprise data warehousing

Travel requirement

Education

Bachelor's degree or higher in Computer Science/Engineering/Analytics

Tools

Informatica PowerCenter

Teradata

Azure Data Factory

Snowflake

SnowSQL

Snowpark (Python)

Databricks

Azure DevOps

GitHub

CI/CD

PowerShell

Bash

REST APIs

Job description

• 5+ years of data engineering experience with a focus on enterprise data warehousing.
• 5+ years of hands-on ETL development using Informatica PowerCenter, Teradata, Azure Data Factory, or similar tools.
• 5+ years of Python development for data engineering and automation.
• 5+ years of Teradata experience, including Teradata loader utilities.
• 3+ years of experience with Spark-based processing frameworks (Databricks or equivalent).
• Solid SQL expertise and experience with relational databases (such as Snowflake, Oracle, SQL Server).
• 3+ years of experience with Snowflake using SnowSQL and Snowpark (Python).
• Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD).
• Proven solid analytical, problem-solving, and troubleshooting skills.
• Periodic travel may be required based on project or customer needs.

Preferred Qualifications

• Bachelor’s degree or higher in Computer Science, Engineering, Analytics, or a related field.
• Azure certifications related to data engineering or analytics.
• Experience supporting State Medicaid EDW or MMIS analytics environments.
• Healthcare or public sector analytics experience (Medicaid / Medicare preferred).
• Data modeling experience in enterprise data warehouse environments.
• Scripting experience (PowerShell, Bash) for automation and orchestration.
• Experience designing or consuming APIs (REST) within data platforms.
• Familiarity with data quality frameworks, reconciliation, and audit support.