Senior Software Engineer

🔥 14 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack 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

• Gather business requirements and perform data modeling • Design, develop, and implement scalable batch and real-time data pipelines using Snowflake, Amazon Redshift, and AWS-native technologies • Lead end-to-end data engineering initiatives covering data ingestion, ETL/ELT transformation, data quality, and data delivery • Build and optimize cloud-native data solutions using AWS services including S3, Lambda, Glue, ECS, EMR, IAM, and CloudWatch • Develop and maintain modular, testable, and scalable dbt ELT transformation frameworks • Collaborate with data architects, analysts, product owners, and business stakeholders to translate requirements into technical solutions • Drive best practices in data modeling, governance, metadata management, lineage, and performance optimization • Implement observability and monitoring using Datadog, CloudWatch, and custom alerting frameworks • Lead code reviews, establish engineering standards, and champion CI/CD and DevOps practices • Troubleshoot and resolve complex production issues involving data pipelines, orchestration, and warehouse performance • Mentor junior and mid-level engineers • Evaluate and adopt emerging cloud, AI/ML, and data engineering technologies • Build trusted, scalable, high-quality datasets for AI/ML, advanced analytics, and GenAI applications • Partner with cross-functional teams to implement secure, compliant, and highly available enterprise data solutions

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field • 5+ years of experience in Data Engineering, Data Warehousing, and Software Development • Strong expertise in SQL and Python with experience building enterprise-scale data solutions • Hands-on experience with Snowflake and Amazon Redshift in large-scale production environments • Strong experience with modern data transformation frameworks such as dbt • Experience with orchestration and workflow tools such as Apache Airflow • Experience building and supporting observability frameworks using Datadog or equivalent monitoring platforms • Strong understanding of dimensional and normalized data modeling techniques • Experience working with AWS cloud services including S3, Lambda, Glue, IAM, ECS, CloudFormation, and related technologies • Knowledge of CI/CD implementation using tools such as GitHub Actions, Jenkins, Terraform, or similar platforms • Experience with data governance, data quality frameworks, and security best practices • Excellent problem-solving, analytical, and communication skills • Proven ability to lead technical initiatives and mentor engineering teams • Passion for innovation, continuous learning, and adopting modern data engineering practices

🏖️ Benefits

• Flexible work environment • Fluid career paths • Internal mobility opportunities • Well-being support • Work-life balance • Welcoming and inclusive environment • Volunteering opportunities