Sr. Data Engineer

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.

Job Description

Title: Senior AWS Data Engineer - HYBRID

Location: Denver, CO | Hybrid

Get To Know The Team:

As a Senior Data Engineer, you will take a pivotal role building and maintaining scalable, secure, and high-performance analytics applications. Your knowledge of AWS, data warehousing and infrastructure will be crucial in shaping our platform's future. You will mentor junior developers, collaborate with cross-functional teams, and contribute to our mission of enabling our organization to increase revenue through data driven insights.

Why You Will Love It Here!

• Flexibility: Hybrid Work Model & a Business Casual Dress Code, including jeans
• Your Future: 401k Matching Program, Professional Development Reimbursement
• Work/Life Balance: Flexible Personal/Vacation Time Off, Sick Leave, Paid Holidays
• Your Wellbeing: Medical, Dental, Vision, Employee Assistance Program, Parental Leave
• Diversity & Inclusion: Committed to Welcoming, Celebrating and Thriving on Diversity
• Training: Hands-On, Team-Customized, including SS&C University
• Extra Perks: Discounts on fitness clubs, travel and more!

What You Will Get To Do:

• Design, develop, and build data lakes, data warehouses, data infrastructure, data pipelines (ETL/ELT), and data models
• Automate the ingestion, delivery, processing, and quality, of structured and unstructured data
• Support and maintain system infrastructure, IAM policies and adhere to corporate security standards
• Support and maintain system network
• Bring your expertise in Amazon Web Services cloud solutions, architecture, related technologies, and their interdependencies
• Research, analyze, recommend, and select technical approaches for solving difficult and meaningful development and integration problems
• Learn and embrace new tools and techniques to increase performance, automation, and scalability
• Understand business goals and drivers and translate those into an appropriate technical solution

What You Will Bring:

• You bring 2-5 years of data engineering and/or data warehousing experience
• You have 2-5 years of experience building AWS cloud data solutions
• Proficient in designing and deploying data pipelines for ingest and transformation
• You have strong communication skills and can translate technology to business and vice versa
• You're a strong analytical problem-solver
• You're a self-starter who has the ability to work independently or as part of a project team
• Proficient in minimum 5 of the following:
  • Relevant ETL/ELT tool for data & analytics platforms (e.g. DBT)
  • Data modeling and storage practices for data lakes, big data applications, data warehouses, data marts, and OLAP services
  • Agile development methodologies including DevOps and DataOps concepts
  • Relevant programming language for cloud platforms (e.g. Python and YAML)
  • SQL for data profiling and transformation
  • Version control platforms like Git
  • IaaC (e.g. CloudFormation)
  • Networking (VPC infrastructure and configuration: Subnets, Security Groups, Route Tables)
  • AWS services supporting data architecture: Lambda, RDS, Step Functions, EventBridge, ECS

Thank you for your interest in SS&C! To further explore this opportunity, please apply through our careers page on the corporate website at www.ssctech.com/careers.

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Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.

SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.