REMOTE Sr Data Engineer

Insight Global; Zionsville (IN); Remote; USD 83,000 - 103,000; Full time

Benefits offered by this job

Medical, Dental & Vision insurance

HSA/FSA/DCFSA options

401k with employer match after 90 days

Paid sick leave / paid time off

Job summary

Insight Global is seeking a Data Engineer to join a growing data and analytics team supporting a leading insurance and financial services organization. This role focuses on building scalable data pipelines, optimizing data workflows, and ensuring high-quality, reliable data across the business.

Candidates should have experience with cloud data environments and modern orchestration tools, and be ready to partner with stakeholders to translate data needs into actionable solutions.

Qualifications

• 5+ years of experience building and supporting production data pipelines.
• Experience with cloud platforms (AWS, Azure, GCP).
• Strong Python, SQL, and Git skills.
• Experience with cloud data platforms and processing frameworks (Snowflake or Databricks, Spark).
• Hands-on experience with analytics engineering tools such as dbt or Coalesce.
• Experience using DAG-based orchestration tools (Airflow or Dagster).
• Strong problem-solving and communication skills with exposure to finance/insurance data.

Responsibilities

• Design, build, and support production-grade data pipelines and ETL/ELT processes.
• Develop and maintain data models, transformations, and architecture to support reporting, analytics, and operational use cases.
• Optimize data performance, quality, reliability, and scalability across enterprise data platforms.
• Build and manage data workflows using orchestration tools such as Airflow or Dagster.
• Implement data quality checks, monitoring, and governance best practices.
• Collaborate with analytics, engineering, and business teams to translate requirements into scalable data solutions.
• Support cloud-based data platforms and contribute to the evolution of modern data architecture.
• Partner with stakeholders to understand data needs and deliver solutions that support business objectives.

Skills

Data engineering

Python

SQL

Airflow

Databricks

Snowflake

Tools

dbt

Coalesce

Dagster

Job description

Job Description

Insight Global is seeking a Data Engineer to join a growing data and analytics team supporting a leading insurance and financial services organization. This individual will be responsible for building and maintaining scalable data pipelines, optimizing data workflows, and ensuring high-quality, reliable data is available across the business. The ideal candidate has experience working within modern cloud data environments and enjoys solving complex data challenges while partnering with stakeholders to drive business outcomes.

• Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options.
• 401k retirement account access with employer matching will start after 90 days if elected.
• Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

Pay range $60-75/hr

Key Responsibilities

• Design, build, and support production-grade data pipelines and ETL/ELT processes.
• Develop and maintain data models, transformations, and architecture to support reporting, analytics, and operational use cases.
• Optimize data performance, quality, reliability, and scalability across enterprise data platforms.
• Build and manage data workflows using orchestration tools such as Airflow or Dagster.
• Implement data quality checks, monitoring, and governance best practices.
• Collaborate with analytics, engineering, and business teams to translate requirements into scalable data solutions.
• Support cloud-based data platforms and contribute to the evolution of modern data architecture.
• Partner with stakeholders to understand data needs and deliver solutions that support business objectives.

Skills and Requirements

• -5+ years of experience as a Data Engineer building and supporting production data pipelines, data modeling, data transformations and data optimization
• -Experience with cloud platforms (AWS, Azure, GCP) and modern data architectures
• -Strong proficiency in Python, SQL, and Git within modern data environments
• -Experience with cloud data platforms and processing frameworks (Snowflake or Databricks, Spark)
• -Hands-on experience with analytics engineering tools such as dbt or Coalesce
• -Experience using DAG-based orchestration tools (Airflow or Dagster) and data quality frameworks
• -Strong problem-solving, communication skills, and curiosity about how data impacts business outcomes, with exposure to finance/insurance/annuity data - this role is EST hours- candidates preferred in CST/EST time zones

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 [e-mail] 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/.