Expert, Data Platforms Engineer

For this U.S. based position, the expected compensation range is $114,400 - $171,600 per year, which
includes base pay and short-term incentive.

The compensation range for this full-time position applies to candidates located within the United
States. Our salary ranges are determined by reviewing roles of similar responsibility and level. Within
the salary range, individual pay is determined by several factors including performance, knowledge, job related skills, experience, and relevant education or training. Schneider Electric also offers a
comprehensive benefits package to support our employees, inclusive of medical (with member reward
points), dental, vision, and basic life insurance, Benefit Bucks (credits to apply towards your benefits)
flexible work arrangements, paid family leaves, 401(k) + match, well-being and recognition (including
service anniversary) programs, 12 holidays per year, 15 days of paid time off per year (pro-rated in the
first year of employment based on start date), opportunity to purchase company stock (eligibility
depends on start date), and military leave benefits.

You must submit an online application to be considered for the position. The Company will accept
applications on an ongoing basis until the position is filled.

If you believe this job posting is not compliant with applicable state pay transparency laws in the U.S.,
please notify the Company as soon as possible upon discovery by completing this form Job Posting
Compliance Form.

Join Schneider Electric and help us power a sustainable future through data. As a Data Engineer within our Data Platforms organization, you'll play a critical role in designing and delivering advanced data solutions that enable trusted analytics and AI across the enterprise. You will collaborate with business stakeholders, solution architects, and global technology teams to create efficient, scalable data flows while ensuring strong data governance practices. Your expertise will help transform raw data into actionable insights that drive innovation and smarter decisions for our customers and the planet.

Job Description

• Design, develop and engineer data lake by data source identification, data extraction, data modelling, data store design and governance
• Develop data flows to ingest and transform both structured and unstructured data using warehousing and big data methodologies and tools to build refined and aggregated data assets for business intelligence and AI enablement.
• Implement efficient patterns for data storage, partitioning, semantic layer and metadata structures to enable consumption of data as a product.
• Implement automation capabilities to enable governance features for data privacy and protection, data inventory and cataloguing, authorization and data security.
• Implement enhanced observability, cost management and reporting strategies for data engineering operations.
• Build relevant integration testing and quality assurance capabilities while ensuring compliance with architectural standards for development.
• Perform assessments (Proof of Concepts) of the latest tools and technology to solution and assist in evolving the technology landscape.
• Lead, mentor, and support the Data Delivery teams with methodologies, tools and technical knowledge.

Qualifications and Experience

• 6+ years minimum experience in technical roles with focus in data engineer.
• 3+ years of Hands-on experience in AWS services including but not limited to: S3, KMS, Lambda, Glue (or Spark), SQS, EventBridge, AWS Step functions etc.,
• 3+ years of hand on experience in writing clean, modular, testable, and maintainable code using either functional or OOP principles.
• Good understanding of AWS networking concepts: VPC, subnets, routing, NAT gateways, security groups.
• Proficiency in IAM concepts: roles, policies, assume-role, and cross-account access.
• Good experience in at least one programming language such as Python, Scala, Java etc
• Good understanding of Spark architecture, execution plans, and performance tuning.
• Strong SQL skills (complex joins, window functions, aggregations etc) and experience with Redshift and/or Athena, or any other distributed compute engines.
• Experience in writing and maintaining Terraform scripts.
• Familiarity with Git, GitHub workflows, and CI/CD tools like Jenkins.
• Hands on experience with data governance, cataloguing and discovery tools such as AWS Glue and Lake formation.
• Exposure to data lake architectures and data governance practices.
• Familiarity with the implementation of monitoring and logging.

• Advanced cloud and on-premises knowledge of NoSQL database structures including AWS DynamoDB, MongoDB, etc.
• Knowledge of Data Management, Integration and Data Quality tools spanning No-code, low-code and code-first methodologies with the intention to replace and upgrade these solutions.

Please note:

• We are unable to sponsor or transfer employment visas, this includes be authorized to work in the United States without the need for visa support now or in the future.
• This is a full-time internal role. We will NOT be considering any consultants or contractors.
• We are also unable to consider remote or travel-based arrangements. Candidates must be based in one of our posted locations. Nashville, TN or Louisville, KY

Looking to make an IMPACT with your career?

When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us.

IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.

We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.

Become an IMPACT Maker with Schneider Electric - apply today!

36 billion global revenue
+13% organic growth
150 000+ employees in 100+ countries
#1 on the Global 100 World's most sustainable corporations

You must submit an online application to be considered for any position with us. This position will be posted until filled.

Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and 'inclusion' is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.

At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here

Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.