Infutor Data Solutions is the expert in Consumer Identity Management and Identity Resolution, offering award-winning solutions to a variety of brands and martech firms. These world-class data solutions enable businesses to most accurately identify key consumer information, powering them to make critical, strategic business decisions. We do this through access to the most comprehensive and accurate data, provided through powerful and flexible technology, giving businesses extensive insight into the core of their business. Infutor's data solutions drive essential business functions in identity verification, fraud and risk, marketing, analytics, multi-media, and compliance applications. 

Our company of rapidly-growing data, technology and analytics leaders is looking for a Data Engineer to join our team that has recently been recognized as: 

• Crain’s Best Places to Work Company
• Crain’s Best-Paying Company
• BuiltIn Best Places to Work
• Inc. 5000 Fastest Growing Companies in the US
• AdWeek Top 20 Fastest Growing Solution Providers
• Martech Breakthrough Award Winner for Best Contact Database Solution

Position Summary: In this role you will be responsible for expanding and optimizing our data and data pipeline architecture. The Data Engineer will support our developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

Responsibilities:

• Interacting with other parts of the business to evangelize and implement platform(s) and product(s) emanating from the team and also to collaborate with other technical teams
• Working with architect to maintain code base for ETL pipelines and large batch processing and streaming systems (Git/GitLab for source control, Unit/Integration Testing, code reviews)
• Comfortable writing stories and associated acceptance criteria for agile/scrum workflow
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Create data tools for data team members that assist them in building and optimizing our product into an innovative industry leader.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Keep our data separated and secure across multiple data centers and AWS regions.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Experience with and knowledge of large batch data processing

Qualifications:

• Experience working under agile/scrum and the major pieces of that framework (epics, stories, sprint planning and retros),
• Intermediate/Advanced knowledge of Python and the environments it executes in.
• Understanding of relational database modeling (MySQL, SQL Server) and experience using SQL
• BASH scripting, basics of LINUX operating system, including some light administration.
• Git and GitLab or GitHub, (branching, merging, etc.)
• Experience configuring and operating Jenkins
• 1-2 years experience developing and deploying solutions on AWS and familiarity with AWS' ecosystem of services

Benefits: 

• 401k with Company Match
• Medical & Prescription Drug, Dental, and Vision Insurance (monthly premiums 100% paid for employee only coverage!)
• Provided at No Cost to Employees: Group Term Life Insurance, Long-Term Disability, and Accidental Death & Personal Loss Insurance
• Flexible Spending Accounts for Health Care, Dependent Care, and Commuter Benefits
• Identity Protection Insurance
• Voluntary Term Life Insurance & Group Universal Life Insurance
• Accident & Critical Illness Insurance
• Employee Referral Bonus Program
• Paid Time Off for Vacation, Illness, & Maternity/Paternity Leave
• Flexible work environment
• Peer Recognition Awards
• Corporate-sponsored Activities & Events Year Round