Lead Engineer - Remote
Chicago, IL, United States
Company Description
Merkle is a leading technology-enabled, data-driven customer experience management (CXM) company. For over 30 years, Fortune 1,000 companies and leading nonprofit organizations have partnered with us to build and maximize the value of their customer portfolios. With more than 9,600 smart, dedicated people in more than 50 offices around the world, we are still growing at a rate that outpaces the market, with 2019 net revenue of $1.1 billion.
Job Description
We are looking for an accomplished Data Engineer with big data processing experience to join our Agile development team in building products to support Merkle’s people-based marketing vision using the latest data and cloud technologies. You will work with a team of passionate, experienced engineers that are solving complex problems and important data analysis features. You will embrace change, and build, test, and scale solutions that guide incremental value for our customers and partners. We’re looking for enthusiastic, driven individuals who are eager to contribute to our world class solutions. You will report to the VP Identity Engineering. This is a remote role.
Responsibilities
- Design, implement, and deploy enterprise data solutions using the latest cloud-based technologies
- Follow Agile methodologies to release iterative feature sets
- Research and introduce new solutions and technologies to the project and stakeholders, provide technical guidance and suggest improvements in development
- Coordinate with other teams as part of a larger data-sharing system
- Employ software development best practices such as automated testing, peer code reviews, continuous integration, and continuous delivery
- Translate requirements and develop technical specifications
Qualifications
- Bachelor’s degree in Computer Science, Engineering, Information Systems or equivalent experience
- 5+ years of work experience with programming languages and object-oriented design
- Database fundamentals including SQL, relational and non-relational data models and schema designs, and understanding of database performance possible effects
- Experience with cloud-based technologies (AWS, GCP or Azure, AWS)
- Experience applying automated tests for code validation and test-driven development
- Experience building and deploying products using continuous integration principles
- Working knowledge of software engineering and development methodologies, techniques, and tools, including Issue Tracking (JIRA), code repositories (Git, Bitbucket) and the Software Development Lifecycle
Additional Information
The anticipated salary range for this position is $94,000-$152,375. Salary is based on a variety of factors including relevant experience, knowledge, skills and other factors permitted by law. A range of medical, dental, vision, 401(k) matching, paid time off, and/or other benefits also are available. For more information regarding dentsu benefits, please …
This job isn't fresh anymore!
Search Fresh JobsJob Profile
401(k) matching Dental Medical Medical, Dental, Vision Other benefits Paid Time Off Remote-first company Vision
Tasks- Analysis
- Coordinate with teams
- Data Analysis
- Provide technical guidance
- Research new technologies
Agile Agile Development Agile methodologies Analysis Automated Testing AWS Azure Best Practices Big Data Big data processing Bitbucket Business Cloud Technologies Continuous Integration Customer Experience CXM Data analysis Data-driven Data engineering Data Solutions Design Engineering GCP Git Integration IT Jira Law Leadership Marketing Media Non-relational databases Relational databases Research Software Development SQL Technology-enabled Test Driven Development
Experience5 years
EducationBachelor's degree in Computer Science Bachelor's degree in engineering Bachelor's degree in information systems Business Computer Science Design Engineering Equivalent experience Information Systems IT Marketing Technology
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9