Kearney · 13 hours ago
Kearney Activate Data Engineer
Boston, MA
Full-time
Hybrid
Mid, Senior Level
$100K/yr - $160K/yr
5+ years expKearney is a consulting firm that focuses on making connections between data, technology, strategy, and people. They are seeking a Senior Consultant Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that support client data-driven initiatives and enterprise transformations.
CollaborationConsultingInformation TechnologyManagement Consulting
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Design, implement, and optimize end to end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data across client environments
Develop robust ETL and ELT processes to integrate data from diverse sources into modern data ecosystems, including data lakes, data warehouses, and cloud native platforms
Implement data validation and quality checks to ensure accuracy, consistency, and reliability of data feeds
Evaluate and implement streaming and real time data processing solutions where applicable
Design and maintain data models, schemas, and database structures to support analytical, operational, and AI or ML use cases
Optimize data storage and retrieval mechanisms for performance, scalability, and cost efficiency
Evaluate and implement data storage solutions including relational databases, NoSQL databases, data lakes, data warehouses, and cloud storage services such as AWS S3, Azure Data Lake, Snowflake, and Data bricks
Contribute to the development of modern data architectures aligned with client business objectives and technical requirements
Build and maintain integrations with internal and external data sources, APIs, and enterprise systems
Implement RESTful APIs and web services for data access and consumption
Ensure compatibility and interoperability across systems and platforms
Design secure data exchange mechanisms that adhere to information security and compliance requirements
Configure and manage data infrastructure components, including databases, data warehouses, data lakes, and distributed computing frameworks such as Spark and Data bricks
Monitor system performance, troubleshoot issues, and implement optimizations to enhance reliability and efficiency
Implement data security controls and access management policies to protect sensitive client information
Leverage cloud platforms and services including AWS, Azure, and GCP to deploy and manage scalable data solutions
Act as technical lead on project work streams, providing guidance and oversight to junior data engineers and analysts
Review code, data models, and technical designs to ensure adherence to best practices and standards
Remove technical blockers and enable continuous progress across delivery teams
Stay current with emerging technologies, including Gen AI capabilities, agentic architectures such as LangGraph and Agent Development Kit, Model Context Protocol, and automation frameworks
Evaluate and implement intelligent automation and AI driven solutions where logically and practically applicable
Contribute to internal knowledge repositories, reusable frameworks, and delivery accelerators
Collaborate directly with client technical and functional stakeholders to understand data requirements and deliver tailored solutions
Partner with data scientists, analysts, architects, and business leaders to bridge technical execution and business outcomes
Participate in client presentations and technical discussions, communicating complex concepts clearly and professionally
Document technical designs, workflows, and best practices to support knowledge sharing and system maintenance
Provide technical guidance and support to team members, clients, and stakeholders as needed
Qualification
Required
A bachelor's degree in computer science, Engineering, Information Systems, or a related field, with a master's degree preferred
Five or more years of experience in data engineering, with significant exposure to client facing consulting or similar environments
Demonstrated experience leading technical work streams and mentoring junior resources
Proficiency in programming languages commonly used in data engineering, including Python and SQL, with Java or Scala a plus
Strong knowledge of database systems, data modeling techniques, and advanced SQL
Hands on experience with ETL and ELT tools such as Data bricks, Azure Data Factory, AWS Glue, Informatica Cloud, Talend, dbt, or Airflow
Experience with big data technologies and frameworks including Spark, Hadoop, Kafka, and Kinesis
Proven experience with cloud platforms and services such as Snowflake, AWS, and Azure, with Google Cloud Platform familiarity a plus
Strong understanding of data warehousing concepts, dimensional modeling, and modern data architecture patterns
Familiarity with GenAI applications in data engineering, agentic frameworks, and emerging technologies
Excellent problem-solving skills and attention to detail
Strong communication skills with the ability to translate technical complexity for non-technical stakeholders
Effective collaboration skills in cross functional, team-oriented environments
Ability to manage multiple concurrent projects and adapt to shifting priorities
Self-motivated with a drive to deliver high quality work and continuously improve
A forward-thinking approach to technology and curiosity about emerging trends and capabilities
Active Secret security clearance or the ability to obtain one
Benefits
Comprehensive medical, dental, and vision coverage for employees and immediate family
Generous retirement and savings contributions
Non partner equity-based awards for consulting managers and above
Structured learning, technical growth, and leadership development opportunities
Flexible work and talent mobility programs, including remote work options and externships
Access to health, wellness, and family care benefits
Paid time off
401(k) match and profit sharing
Healthcare concierge
Backup child/adult care
Annual employer HSA contribution
Home office stipend
Subsidized Gympass
Annual wellness program
Leaves of absence when needed to support employees’ physical, mental, and emotional well-being
Company
Kearney
Kearney is a management consulting firm offering solutions to strategic and operational CEO agenda issues.
5001-10000 employees
Funding
Current Stage
Late StageLeadership Team
Beth Bovis
Vice President & Partner
Christophe Firth
Partner
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