Description & Requirements

WHAT MAKES US A GREAT PLACE TO WORK

We are proud to be consistently recognized as one of the world’s best places to work, a champion of diversity and a model of social responsibility. We are currently #1 ranked consulting firm on Glassdoor’s Best Places to Work list and have maintained a spot in the top four on Glassdoor’s list for the last 13 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.

WHO YOU’LL WORK WITH

As a member of Bain's Advanced Analytics Group (AAG) you’ll join a talented team of diverse and inclusive analytic and engineering professionals who are dedicated to solving complex challenges for our clients. We work closely with our generalist consultants and clients to develop data-driven strategies and innovative solutions. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.

WHAT YOU'LL DO 

As a Lead, Data Engineering you will leverage your experience to implement and refine technical solutions for a wide range of industries. Working with a diverse team, you will engage in the entire engineering life cycle, focusing on designing, developing, optimizing, and deploying sophisticated data engineering solutions and infrastructure at a production scale suitable for the world’s largest companies.

Develop data and software solutions to address large-scale enterprise challenges for Bain's clients, serving as the data engineer and expert within a cross-functional teamDevelop and maintain long-lasting products that support internal or client needsCollaborate closely with and influence general consulting teams to identify analytics solutions for client business problems and to execute those solutionsCollaborate with data engineering leaders to develop and advocate for modern data engineering concepts to both technical audiences and business stakeholdersEnable data and technology for data science, analytics, and other application use cases via data engineering Transformations at scale including cleaning, enriching, de-duping, joining and correlated on structured, semi-structured or unstructured dataDefining and implementing new and innovative deployment techniques, tooling, and infrastructure automation within Bain the full software development life cycle including designing, writing documentation and unit/integration tests, and conducting code reviews for data engineering solutionsParticipate in infrastructure engineering for data ecosystem including development, testing, deployment and releaseProvide technical guidance to external clients and internal stakeholders in BainContribute to industry-leading innovations that translate into great impact for clients in case workStay current with emerging trends and technologies in cloud computing, data analysis, and software engineering, and proactively identify opportunities to enhance the capabilities of the analytics platformTravel is required (30%) 

ABOUT YOU

Master’s degree in Computer Science, Engineering, or a related technical field5 years minimum experience3+ years at Senior or Staff level, or equivalent

Technical Skills and Knowledge:

Working knowledge of (3+ years) Python, Scala, C/C++, Java, C#, Go, or similar programming languageExperience in deploying serverless data pipelines through containerization and terraform orchestration Experience in data ingestion using one or more modern ETL compute and orchestration frameworks (Airflow, Beam, Luigy, Spark, Nifi or any other)Experience (3+ years) of  SQL or NoSQL databases: PostgreSQL, SQL Server, Oracle, MySQL, Redis, MongoDB, Elasticsearch, Hive, HBase, Teradata, Cassandra, Amazon Redshift, SnowflakeExperience with Cloud platforms and services (AWS, Azure, GCP, etc.) or Kubernetes via Terraform automation, and associated deep understanding of failover, high-availability, and high scalability  Experience with DevOps, CI/CD, Github Actions, version control and git workflowsExperience scaling and optimizing schema and performance turning SQL and ETL pipelines in data lake and data warehouse environmentsStrong computer science fundaments in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performanceExperience working according to agile principles

Interpersonal Skills:

Strong interpersonal and communication skills, including the ability to explain and discuss technicalities of solutions, algorithms and techniques with colleagues and clients from other disciplinesCuriosity, proactivity and critical thinkingAbility to collaborate with people at all levels and with multi-office/region teams

Other Experience:

Proven experience in end to end data and software engineering within either/or product engineering or professional services organizations; including project setup, test cases, dependency, and build management