Job Description
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Written by AI from the job title and company, not by NiSource, so some details may not match this job. The employer's own page has the real description.
Overview
As a Senior Data Engineer at NiSource, you will play a crucial role in designing, developing, and maintaining robust data pipelines and architectures. You will collaborate with other data professionals and stakeholders to enhance data collection, analytics capabilities, and implement best practices for data governance. Your efforts will ensure that accurate and timely data is made accessible to various teams within the organization, facilitating informed decision-making and driving business growth.
Job Responsibilities
- Design, construct, install, and maintain scalable data pipelines.
- Develop data models and ETL processes to support data analytics and reporting needs.
- Collaborate with data scientists and analysts to address key business questions and improve data-driven decision-making.
- Implement data governance policies to ensure data quality and compliance with regulatory standards.
- Monitor performance and optimize data systems for efficiency and reliability.
- Work with stakeholders to integrate new data sources and ensure seamless data flow across platforms.
- Troubleshoot and resolve data-related issues as they arise in a timely manner.
Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
- Minimum of 5 years of experience in data engineering or a similar role.
- Proficiency in SQL and expertise in database technologies such as PostgreSQL, MySQL, or Oracle.
- Experience with big data technologies like Hadoop, Spark, or similar frameworks.
- Familiarity with cloud-based data services (AWS, Azure, or GCP) is highly desirable.
- Strong understanding of data warehousing, data modeling, and ETL concepts.
- Excellent programming skills in languages such as Python, Java, or Scala.
- Proven experience in deploying data pipelines and applications in a production environment.
Technologies & Tools
The Senior Data Engineer at NiSource will primarily utilize a variety of technologies and tools including, but not limited to, SQL databases (PostgreSQL, MySQL), big data frameworks (Hadoop, Spark), cloud platforms (AWS, Azure), and programming languages such as Python and Java. Familiarity with data visualization tools and data governance software will also enhance effectiveness in this role.
Ideal Candidates
The ideal candidate for the Senior Data Engineer position at NiSource will possess a blend of technical expertise and strong problem-solving skills. They should be detail-oriented, capable of managing multiple projects simultaneously while meeting tight deadlines. A collaborative mindset and excellent communication skills are essential, enabling effective partnerships with cross-functional teams. Furthermore, a commitment to continuous learning and adapting to new technologies will contribute to the individual’s success in our dynamic work environment.
In the Richmond, VA metro area, the middle pay across its 660,000 jobs was $51,460 a year in May 2025, says the Bureau of Labor Statistics. Pay calculator →
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