Senior Engineer, Data

Job not on LinkedIn

🔥 2 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Empower

WebsiteLinkedInAll Job Openings

10,000+ employees

💸 Finance

💳 Fintech

👥 B2C

Finance • Fintech • B2C

Empower is a leading provider of financial services focused on helping individuals and organizations achieve financial freedom through retirement planning and investment management. Serving over 19 million Americans, Empower offers a comprehensive suite of finance-related services, including smart planning and investment advice, and tools like the Empower Personal Dashboard™ for a complete financial view. The company is renowned as a top retirement plan provider and works closely with personal investors, workplace plan savers, plan sponsors, and financial professionals. Empower is also recognized for initiatives in Diversity, Equity, Inclusion, and has a social commitment that bolsters community impact.

📋 Description

• Transform data from disparate systems to provide insights and analytics for business stakeholders • Leverage cloud-based infrastructure to implement scalable, resilient, and efficient technology solutions • Collaborate with Data Engineers, Data Analysts, Data Scientists, DBAs, cross-functional teams, and business partners • Architect, design, implement, and operate data engineering solutions using Agile methodology • Support informed business decisions through data engineering solutions • Participate in the full software development lifecycle from design to deployment • Apply understanding of the full data lifecycle across applications, machine learning, business analytics, and reporting • Facilitate and take ownership of assigned technical projects • Continuously improve the quality, efficiency, and scalability of data pipelines • Perform other duties as required

🎯 Requirements

• Bachelor of Science degree in Computer Science or equivalent • At least 7 years of post-degree professional experience • 4+ years of development experience building and maintaining ETL pipelines • 3+ years of Python development experience • Experience with AWS integrations such as Kinesis, Firehose, Aurora Unload, Redshift, Spectrum, Elastic MapReduce, SageMaker, and Lambda • Experience mentoring junior team members through code reviews and recommending adherence to best practices • Deep understanding of writing test cases to ensure data quality, reliability, and confidence • Track record of advancing new technologies to improve data quality and reliability • Expert SQL skills, including performance tuning, indexes, and materialized views • Advanced knowledge of OLTP and OLAP environments • Proficiency designing and executing NoSQL databases for Big Data storage and retrieval • Experience with API code integrations with external vendors • Familiarity with data orchestration pipelines using Argo or Airflow • Knowledge of analytic tools such as R, Tableau, Plotly, and Python Pandas • Financial services industry experience is a plus

🏖️ Benefits

• Flexible work environment • Fluid career paths • Internal mobility opportunities • Purpose, well-being, and work-life balance support • Welcoming and inclusive work environment • Volunteering opportunities