Data Engineer – East Region

Slalom

Hartford (CT)

On-site

USD 100,000 - 115,000

Full time

14 days+
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Benefits offered by this job

401(k) with match
Health, dental, & vision coverage
Generous paid time off & holidays

Job summary

Slalom is seeking a Data Engineer to join our Data Architecture & Engineering team. You will design and implement data platform components across AWS, Azure, and Google Cloud, collaborating with Solution Architects to deliver scalable, AI-ready data solutions.

You will work in cross-functional teams, translate complex requirements into development tasks, and ensure timely, high-quality delivery. Proficiency in Python and Java is expected.

Qualifications

  • 4 years of hands-on experience designing, building, and optimizing data engineering solutions in production environments.
  • Experience with cloud data warehouses and streaming platforms.
  • Familiarity with Python and Java is expected.

Responsibilities

  • Designing and implementing components of clients’ data platform solutions, typically under the direction of a Solution Architect.
  • Translating complex requirements into actionable development tasks.
  • Ensuring timely, high-quality delivery of development items for the data engineering team.
  • Building solutions using modern data technologies: cloud data warehouses, distributed processing engines, event streaming platforms, and more.
  • Collaborating across data engineering disciplines, including streaming/real-time data, modern data platforms, data architecture, and AI-accelerated data engineering.

Skills

Python
Java
Cloud platforms
Big data & streaming
Airflow
Kubernetes
Databases
Spark
Databricks
SQL

Tools

Apache Airflow
dbt
Dagster
Azure Data Factory

Job description

Who You’ll Work With

At Slalom, we co-create custom software, data, and cloud products with clients who are ready to accelerate their digital transformation. We’re passionate about technology and compelled by its potential — building digital products, experiences, and technology-driven organizations that drive true change.

Our Data Architecture & Engineering team sees data as the foundation for decision-making, artificial intelligence, and transformation. We embrace AI to scale with quality, innovate without fear, and use technology with purpose to unlock the full potential of data and create lasting impact.

We demonstrate every day that talent, creativity, and technical excellence have no borders by delivering world-class solutions that inspire people to dream big and move faster.

What You’ll Do

As a Data Engineer at Slalom, you will work in collaborative teams to deliver innovative, scalable solutions across Amazon Web Services, Microsoft Azure, and Google Cloud Platform technologies. You’ll stay ahead of emerging technologies and help shape the next generation of data platforms for some of the most forward-thinking organizations in data and analytics.

Your day-to-day will include:

  • Designing and implementing components of clients’ data platform solutions, typically working under the direction of a Solution Architect
  • Participating in design sessions and translating complex requirements into actionable development tasks
  • Ensuringtimely, high-quality delivery of development items — both for yourself and for the data engineers you support
  • Building solutions using modern data technologies: cloud data warehouses, distributed processing engines, event streaming platforms, and more
  • Working across data engineering disciplines, including streaming/real-time data, modern data platforms, data architecture, and AI-accelerated data engineering
What You’ll Bring

You bring a curious mindset, a thirst for knowledge, and a hunger for fearless experimentation. You’re a self-starter who breaks large problems into smaller ones, communicates proactively, and loves sharing what you learn with teammates and the broader Builder community.

You have 4 years of hands‑on experience designing, building, and optimizing data engineering solutions in production environments, and deep familiarity with modern data technologies. Experience in most, but not all, of the following is expected:

  • Cloud Platforms & Warehouses — Amazon Redshift, Snowflake, GoogleBigQuery, Azure Synapse Analytics, Amazon EMR
  • Big Data & Streaming — Apache Spark, Presto, Databricks, Amazon Kinesis, Apache Kafka
  • Workflow & Orchestration — Apache Airflow,dbt,Dagster, Azure Data Factory
  • Databases, Containers & ML — DynamoDB, Cosmos DB, MongoDB, Kubernetes, Amazon ECS, Amazon SageMaker, Azure ML Studio
  • Programming Languages — Python, Java (object-oriented)
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.

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.

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