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Senior Data Engineer – ClientTech 658 views


  • Bachelor’s degree in engineering, computer science, or equivalent area
  • 3+ years of experience in the field of business intelligence, application development, database development, and ETL and/or data analysis domains with extensive SQL knowledge
  • Experience with cloud infrastructures such as AWS, Azure, or Google Experience in container technologies like Docker/Kubernetes is a plus
  • Experience in building the data pipelines and workflows from the ground up including defining the exception handling strategies
  • Exposure in storing and assembling large complex data sets with various formats such as CSV, JSON, Avro, Parquet
  • Hands-on coding and application development experience with programming languages such as Python, Shell, Java, or similar scripting languages
  • Familiarity with R, Scala, JavaScript is a big plus
  • Experience with relational SQL and NoSQL databases and tools like Snaplogic, Alteryx, Tableau, Power BI
  • Good understanding of REST APIs, data modeling, data warehousing, data lakes, and big-data concepts
  • Ability to translate business requirements; ability to proactively identify and advocate for improvements to technology and engineering methods
  • Excellent time management skills (e.g. manage estimated workload according to scope)
  • Demonstrated willingness and ability to engage with teams and collectively solve complex problems
  • Ability to effectively communicate business benefits and implications of technology initiatives to non-technical and more senior colleagues

What You’ll Do

You’ll provide data engineering expertise in their client service.

In this role, you will be responsible for coding and testing tools and assets to deliver high-quality analytics to their customers. You will perform the transformation, filtering, and aggregation of raw data into concise, accurate, and focused data marts or client-specific data models. You will also be responsible for data-intensive ad-hoc analytics including novel analytics for which tools are not sufficiently push button.

You’ll be an integral part of their team with opportunities for coaching and mentoring from your senior colleagues.

Who You’ll Work With

You will be based in one of their technology hubs in either Waltham, MA, or Atlanta, GA as part of the broader McKinsey technology team (ClienTech).

McKinsey technology fosters innovation driven by analytics, design thinking, mobile and social by developing new products/services and integrating them into their client work. It is helping to shift their model toward asset-based consulting and is a foundation for and expands their investment in their entrepreneurial culture. Through innovative software as a service solution, strategic acquisitions, and a vibrant ecosystem of alliances, they are redefining what it means to work with McKinsey. As one of the fastest-growing parts of their firm, McKinsey’s technology team has more than 1,500 dedicated professionals (including more than 800 analysts and data scientists) and they’re hiring more mathematicians, data scientists, designers, software engineers, product managers, client development managers, and general managers.

You will collaborate with the product and delivery team on the definition and requirements of analytics products within an agile framework.

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