Job description

Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all. Who You’ll Work With At Slalom, we co-create custom software, data, AI, and cloud solutions with clients who are ready to accelerate their digital transformation. We are passionate about technology and its potential to create better products, experiences, and organizations. Our Data Architecture & Engineering team sees data as the foundation for decision-making, artificial intelligence, and transformation. You may work with cross-platform data engineering teams or with one of our centers of excellence that specializes in a particular ecosystem. Slalom works across Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Databricks, and Snowflake, along with the technologies that support each platform. Expertise across every platform is not required. Your current skills, delivery experience, and areas of interest will help determine which team and client opportunities are the best fit, while giving you room to expand your capabilities over time. What You’ll Do As a Data Engineer at Slalom, you will collaborate with clients, architects, and multidisciplinary delivery teams to design, build, and operationalize scalable data solutions. Your work may include: • Designing and implementing cloud-native data platforms, data lakes, lakehouses , warehouses, and data products. • Building reliable batch and streaming data pipelines, integrations, and orchestration workflows. • Translating business and technical requirements into maintainable engineering solutions and actionable development tasks. • Developing solutions across AWS, Azure, GCP, Databricks, and Snowflake ecosystems based on client needs and your areas of expertise. • Applying software engineering practices such as version control, automated testing, CI/CD, infrastructure as code, observability, documentation, and secure development. • Using AI-enabled engineering approaches and tools to improve delivery speed, quality, testing, documentation, and maintainability, with appropriate human review and responsible use. • Designing, building, and operationalizing governed data platforms that support analytics, AI, machine learning, Generative AI, and agentic workloads. • Enabling data quality, metadata, lineage, security, privacy, governance, performance, reliability, and cost-effective operations. • Participating in technical discovery, design sessions, code reviews, demonstrations, and knowledge sharing with clients and colleagues. • Contributing to reusable patterns, accelerators, and engineering communities within Slalom. What You’ll Bring We welcome candidates with different combinations of experience. You do not need every skill listed below to be successful in this role. We are interested in the depth of your experience, your learning mindset, and the areas where you want to grow. • Hands-on experience designing, building, testing, deploying, or supporting production data engineering solutions. • Experience with at least one major cloud or data platform, such as AWS, Azure, GCP, Databricks, or Snowflake. Experience across multiple platforms is valued but not required. • Proficiency in programming languages such as SQL, Python, Java and or Scala. • Experience with several modern data engineering capabilities, such as data modeling, ETL/ELT, distributed processing, lakehouse architectures, streaming, APIs, orchestration, or data platform modernization. • Familiarity with relevant technologies, which may include Spark, Kafka, Airflow, dbt , Dagster , Azure Data Factory, BigQuery , Redshift, Synapse, Microsoft Fabric, Delta Lake, Unity Catalog, Dataplex , Dataflow, Pub/Sub, Kinesis, Kubernetes, Terraform, or comparable tools. • Understanding of how high-quality, secure, governed, and observable data foundations support AI, ML, Generative AI, retrieval-augmented generation, and agentic solutions. • Experience with AI-enabled or agentic engineering practices, including using AI-assisted development tools and designing data workflows or platforms that can support intelligent agents and automated decision workflows. • A commitment to responsible engineering, including privacy, security, transparency, testing, monitoring, and appropriate human oversight for AI-enabled solutions. • Strong problem-solving, communication, and collaboration skills, with an ability to explain technical concepts to different audiences. • A curious, growth-oriented mindset and willingness to learn new platforms, tools, and delivery approaches. Additional Experience That May Be Helpful • Cloud, Databricks, or Snowflake certifications. • Experience in consulting or in client-facing, cross-functional delivery teams. • Experience with MLOps , LLMOps , vector databases, model or prompt monitoring, feature stores, semantic layers, or AI platform operations. • Experience modernizing legacy data environments or migrating workloads to cloud platforms. • Experience mentoring others or contributing to technical communities and reusable assets. About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact.  What sets us apart? We believe work should be challenging and fulfilling, not perfect, but possible. That’s why we prioritize purpose, flexibility, connection, and recognition, so our people can thrive and love what they do, most days.  Hybrid/In office: We are hybrid and require that you live within a commutable distance to a Slalom location. If your team leader or client requires you to be onsite, there are expectations that you can meet those requirements.   Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.   Slalom is committed to fair and equitable compensation practices. For this Consultant role, we are hiring at the following targeted base pay salary ranges:  Boston, New York: $100,000 - $122,000 All other locations: $100,000 - $115,000   In addition, individuals may be eligible for an annual discretionary bonus .  Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.  We are committed to pay transparency and compliance with applicable laws. If you have questions or concerns about the pay range or other compensation information in this posting, please contact us at:  peopleone@slalom.com . Please note, this recipient is not able to support recruitment inquiries beyond this purpose.   EEO and Accommodations Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team or contact  accomodationrequest@slalom.com  if you require accommodations during the interview process. Locations: Atlanta, GA; Baltimore, MD; Boston, MA; Charlotte, NC; Chicago, IL; Columbus, OH; Detroit, MI; Hartford, CT; Miami, FL; Minneapolis, MN; Nashville, TN; New York, NY; Philadelphia, PA; Raleigh, NC; Tampa, FL; Washington, DC

Requirements

Must-haves

At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.
Who You’ll Work With
What You’ll Do
As a Data Engineer at Slalom, you will collaborate with clients, architects, and multidisciplinary delivery teams to design, build, and operationalize scalable data solutions. Your work may include:
Designing and implementing cloud-native data platforms, data lakes, lakehouses , warehouses, and data products.
Building reliable batch and streaming data pipelines, integrations, and orchestration workflows.
Translating business and technical requirements into maintainable engineering solutions and actionable development tasks.
Developing solutions across AWS, Azure, GCP, Databricks, and Snowflake ecosystems based on client needs and your areas of expertise.
Applying software engineering practices such as version control, automated testing, CI/CD, infrastructure as code, observability, documentation, and secure development.
Using AI-enabled engineering approaches and tools to improve delivery speed, quality, testing, documentation, and maintainability, with appropriate human review and responsible use.
Designing, building, and operationalizing governed data platforms that support analytics, AI, machine learning, Generative AI, and agentic workloads.
Enabling data quality, metadata, lineage, security, privacy, governance, performance, reliability, and cost-effective operations.
Participating in technical discovery, design sessions, code reviews, demonstrations, and knowledge sharing with clients and colleagues.
Contributing to reusable patterns, accelerators, and engineering communities within Slalom.
What You’ll Bring
Hands-on experience designing, building, testing, deploying, or supporting production data engineering solutions.
Experience with at least one major cloud or data platform, such as AWS, Azure, GCP, Databricks, or Snowflake. Experience across multiple platforms is valued but not required.
Proficiency in programming languages such as SQL, Python, Java and or Scala.
Experience with several modern data engineering capabilities, such as data modeling, ETL/ELT, distributed processing, lakehouse architectures, streaming, APIs, orchestration, or data platform modernization.
Understanding of how high-quality, secure, governed, and observable data foundations support AI, ML, Generative AI, retrieval-augmented generation, and agentic solutions.
Experience with AI-enabled or agentic engineering practices, including using AI-assisted development tools and designing data workflows or platforms that can support intelligent agents and automated decision workflows.
A commitment to responsible engineering, including privacy, security, transparency, testing, monitoring, and appropriate human oversight for AI-enabled solutions.
Strong problem-solving, communication, and collaboration skills, with an ability to explain technical concepts to different audiences.
A curious, growth-oriented mindset and willingness to learn new platforms, tools, and delivery approaches.

Nice-to-haves

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Keywords to mirror

agileaiawsazuregcpci/cdmachine learningsqlpythonjavakubernetesml

Platform: slalom
Effort: medium

Benefits

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Dental

Vision

401(K)

Parental Leave