Data Engineer

Position: Data Engineer
Location: Chicago, IL(Hybrid 3x in office)
Employment Type:Contract-to-hire

Contract Duration: 6months-1year

The data engineer is responsible for designing, building, and maintaining the systems and infrastructure needed for data storage, processing, and analysis. The data engineer will work with a multidisciplinary Agile team to build high-quality data pipelines, generate insights from connected data, and advance the company's data-driven decision-making capabilities.

Responsibilities:

Designs, develops, optimizes, and maintains data architecture and pipelines that adhere to ELT principles and business goals.
Solves complex data problems to delivers insights that helps business achieve its goals.
Creates data products for engineer, analyst, and data scientist team members to accelerate their productivity.
Engineer effective features for modelling in close collaboration with data scientists and businesses.
Leads the evaluation, implementation and deployment of emerging tools and process for analytics data engineering in order to improve productivity as a team and quality.
Partners with machine learning engineers, BI, and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
Fosters a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions.
Advises, consults, mentors, and coach other data and analytic professionals on data standards and practices.
Develops and delivers communication and education plans on analytic data engineering capabilities, standards, and processes.
Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics as necessary to carry out role effectively.

Key Skills:

• Experience in building data pipelines and deploying/maintaining them following modern DE best practices-target tech stack: Python OSS Data Ecosystem (PySpark, pandas, Dash); knowledge of SQL, DBT is a plus
• Heavy experience with Azure Data Factory is a must.
  
• Experience with designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing, accessing, and transforming data in a variety of relational databases 
• Strong understanding of agile methodologies and experience as a Data Engineer on a cross-functional agile
  team preferred
• Software Engineering fundamentals and software development tooling (e.g., Git, CI/CD, JIRA) and familiarity
  with the Linux operating system and the Bash/Z shell
• Experience with cloud database technologies (e.g., Azure) and developing solutions on cloud computing
  services and infrastructure in the data and analytics space 
• Basic familiarity with BI tools (e.g., Alteryx, Tableau, Power BI, Looker)
• Experience working in data engineering or data architect role
  

Qualifications &Technical Skills

• Bachelor’s degree in computer science, statistics, engineering, or a related field
• 3+ years experience as a Data Engineer, preferably in a large organization

Interpersonal Mindset & Behaviors

• Focused on agile delivery with a “fail-fast, succeed early” mindset and measurable outcomes
• Flexibility to changes in work direction as the project develops according to highest-priority business needs
• Strong work ethic; ability to work at an abstract level and gain consensus 
• Exemplary organizational skills with attention to detail, access, and quality assurance
• Excellent communication and listening skills, collaborating closely with multidisciplinary team members
• Have a “can do” attitude and thrive on a “test and learn” mentality