Data Operations Engineer

Schneider ElectricNashville, TN
3d$114,400 - $171,600

About The Position

We’re hiring an Expert Data Operations Engineer to run, optimize, and scale our AWS‑based data platforms. You’ll partner with developers and architects to productionize data flows, tune performance, enforce governance, and deliver reliable, observable pipelines that power analytics and AI.

Requirements

  • Bachelor’s in Computer Science/IT or equivalent experience in data management, integration, or data warehousing.
  • Hands‑on with AWS: S3, KMS, Lambda, Glue/Spark, SQS, EventBridge, Step Functions.
  • Strong AWS networking fundamentals: VPC, subnets, routing, NAT gateways, security groups.
  • Expertise with Redshift concurrency scaling and Athena tuning.
  • IAM proficiency: roles, policies, assume‑role, cross‑account access.
  • Advanced SQL (joins, window functions, aggregations) with distributed engines (Redshift/Athena).
  • Experience writing and maintaining Terraform.
  • Solid understanding of Spark architecture, execution plans, and performance tuning.
  • Strong communication, ability to juggle priorities in a fast‑paced environment, and a collaborative, data‑driven mindset.

Nice To Haves

  • Familiarity with serverless and event‑driven pipelines.
  • NoSQL experience (DynamoDB, MongoDB).

Responsibilities

  • Optimize Amazon Redshift performance (distribution keys, sort keys, query tuning) and support Athena optimization.
  • Build and operate ETL/ELT pipelines with AWS Glue; orchestrate workflows with Airflow.
  • Manage semantic layers and metadata to enable trustworthy analytics and AI.
  • Apply best practices for partitioning, compression, and columnar storage.
  • Monitor and troubleshoot data workflows for high availability and reliability; automate observability and reporting.
  • Automate data processes using Python, SQL, and AWS‑native tools.
  • Enforce data security and governance (Lake Formation, IAM), including row/column‑level controls and least‑privilege access.
  • Support monitoring, auditing, and compliance using CloudWatch, CloudTrail, and related services.
  • Continuously improve architecture by adopting relevant AWS best practices and emerging patterns.
  • Collaborate with Operations, Data Governance, and PMO to meet standards and delivery goals.

Benefits

  • medical (with member reward points)
  • dental
  • vision
  • 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)
  • military leave benefits
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