Senior Data Engineer

Title: Senior Data Engineer

- Remote

Location: Merrillville United States

Job Description:

Description

Sr. Data Engineer - Remote

Full Time Perm

Salary: $91,000 - $136,000, plus 8% annual bonus

Way of Work: Remote

The Enterprise Data Strategy department owns the data strategy and build out of the enterprise data lake house.

The Sr Data Engineer is responsible for building high-quality data pipelines and data repositories that support downstream analytics, reporting and application needs. The Sr Data Engineer will partner with business, IT and analytics peers to understand requirements for the use of the data and design optimized solutions to meet these needs. The Sr Data Engineer will leverage best practices to design data products that are timely, reliable and scalable.

Your responsibilities may include, but are not limited to:

• Leads data engineering strategy for complex projects from beginning-to-end

• Designs and deploys highly reliable, scalable and timely data products

• Collaborates to ensure best practices in data architecture are leveraged across multiple environments (e.g. data warehouses, data lake, etc)

• Effectively communicates data engineering concepts to a non-technical audience.

• Assembles large, complex data sets that meet business requirements.

• Identifies, designs, and implements internal process improvements

• Creates data tools for analytics and Data Scientists that facilitate the building & optimizing of products

• Works with Data & Analytics experts to strive for greater functionality in our data systems.

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications

• Bachelor's Degree or equivalent work experience

• 3+ years of experience building and optimizing big-data pipelines, architectures, data sets in cloud platforms such as Azure, AWS, GCP

• 3+ years of experience building Data Warehouse and Data Lake environments

• 3+ years of experience utilizing python

Preferred Qualifications

• Experience with containerization and microservices (e.g., Docker, Kubernetes)

• Experience with both relational SQL and NoSQL databases

• Experience with ETL tools such as Azure Data Factory

Disclaimer

The preceding description is not designed to be a complete list of all duties and responsibilities required of the position.

This role does not qualify for sponsorship

By applying, you may be considered for other job opportunities.

Inclusion & Diversity

Value inclusion within your day-to-day responsibilities by respecting others perspectives/convictions, engaging others opinions, creating a safe environment where people, ideas, and opinions are valued within your Team/Customers and external partners. Respect and take into consideration diversity within your Team/Customers and external work partners by valuing different world views, challenges, and cultures that represent all walks of life and all backgrounds. Treat others with respect and consideration. Actively participate in creating and contributing to a positive work environment.

Equal Employment Opportunity

NiSource is committed to providing equal employment opportunities in each of its companies to all employees and applicants for employment without regard to race, color, religion, national origin or ancestry, veteran status, disability, gender, age, marital status, sexual orientation, gender identity, genetic information, or any protected group status as defined by law. Each employee is expected to abide by this principle.

Safety Statement

Promote a safe work environment by actively participating in all aspects of our employee safety program.  Report any unsafe conditions and take actions to prevent personal injuries.  Support our interdependent safety culture by ensuring the safety of your co-workers.  Stay focused on the task at hand and promote productivity through good work habits.

#Remote #WomenInUtilites #OhioMeansJobs #DataProduct #Cloud #WomenInTech #Remote #DataEngineer #Data #BigData #RemoteJobs #NiSource #WomenInTech #NowHiring #ETL #ETLEngineer #Cloud #CloudJobs #DataLake

Work Authorization

Authorized to work in the United States without requiring sponsorship.

Inclusion & Diversity

Value inclusion within your day to day responsibilities by respecting others perspectives/convictions, engaging others opinions, creating a safe environment where people, ideas, and opinions are valued within your Team/Customers and external partners.

Respect and take into consideration diversity within your Team/Customers and external work partners by valuing different world views, challenges, and cultures that represent all walks of life and all backgrounds.

Treat others with respect and consideration. Actively participate in creating and contributing to a positive work environment.

Equal Employment Opportunity

NiSource is committed to providing equal employment opportunities in each of its companies to all employees and applicants for employment without regard to race, color, religion, national origin or ancestry, veteran status, disability, gender, age, marital status, sexual orientation, gender identity, sex (including pregnancy, lactation, childbirth or related medical conditions), genetic information, citizenship status, or any protected group status as defined by law. Each employee is expected to abide by this principle.

By applying, you may be considered for other job opportunities.

Safety Statement

Promote a safe work environment by actively participating in all aspects of our employee safety program. Report any unsafe conditions and take actions to prevent personal injuries. Support our interdependent safety culture by ensuring the safety of your co-workers. Stay focused on the task at hand and promote productivity through good work habits.

Salary Range:

$91,000.00 - $136,600.00

Posting Start Date:

2024-12-17

Posting End Date (if applicable):

2024-12-17

Please note that the job posting will close on the day before the posting end date.