Job description

Role: Data Engineer Who You’ll Work With At Slalom we co-create custom software, data, AI, and cloud products with clients who are ready to accelerate their digital transformation. We're passionate about technology, compelled by its potential as we help create the digital products, experiences, and technology-driven organizations that drive true change. We’re thrilled by the opportunity to build the future we want to see, with anyone willing to join us. Slalom's Google Center of Excellence (COE) is focused on injecting intelligence into products, engineering systems that support learning and insight and creating innovative data products. Within Data Engineering we help customers build world-class products through effective use of: • Batch and real-time data engineering, including scalable ETL/ELT pipelines using modern cloud-native architectures. • Modern data platforms built on Google Cloud, including data lakes,lakehouses, and enterprise data warehouses. • Streaming data platforms for real-time ingestion, event-driven architectures, and analytics. • Data integration and orchestration using modern workflow and pipeline automation tools. • Data platform modernization and migration, helping clients transition legacy data environments to Google Cloud. • AI-ready data foundations, ensuring high-quality, governed, and scalable data to support advanced analytics and generative AI use cases. What You’ll Do Slalom Google Data and AI is comprised of passionate, flexible technologists who love to practice and hone their craft. As tools evolve and technologies emerge, we work to stay in front of innovations in data platform development and delivery. As a Data Engineer in Slalom's Google COE, you will work in collaborative teams to design, build, and modernize enterprise data platforms on Google Cloud Platform (GCP). You will deliver solutions using BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Vertex AI, Looker, and other Google Cloud services. You will help clients migrate and modernize data estates, implement real-time and batch pipelines, enable governed analytics, and accelerate AI-ready data foundations. You will be engaged to participate in design sessions and be responsible for the timely completion of development items assigned to you in a project backlog. *You will work in a hybrid environment, with expectation to be in-person with Slalom teams and clients as needed. *You also must be within commutable distance to one of Slalom's listed office locations. What You’ll Bring You are passionate about Google Cloud and modern data engineering and continuously expand your skills through hands-on delivery, certifications, and collaboration across the Google COE. You enjoy solving complex data challenges and building scalable, secure, cloud-native platforms. • Big Data Platforms (Dataproc, Apache Spark) • GoogleBigQuery,BigLake, Cloud SQL • Python, Java, SQL • Firestore, Bigtable, Spanner, MongoDB • Google Kubernetes Engine (GKE), Cloud Run • Pub/Sub, Dataflow, Apache Kafka • Managed Airflow,dbt,Dataplex Nice to have • Looker, Looker Studio • Gemini Enterprise, AI, ML Ops 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 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.   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.The base salary pay range is $100,000 - $115,000 for Consultant, depending on experience. 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.       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 if you require accommodations during the interview process. Locations: Atlanta, GA; Austin, TX; Charlotte, NC; Columbus, OH; Dallas, TX; Detroit, MI; Hartford, CT; Houston, TX; Miami, FL; Minneapolis, MN; Nashville, TN; Philadelphia, PA; Phoenix, AZ; Raleigh, NC; Salt Lake City, UT; St. Louis, MO; Tampa, FL

Requirements

Must-haves

Role: Data Engineer
Who You’ll Work With
Batch and real-time data engineering, including scalable ETL/ELT pipelines using modern cloud-native architectures.
Modern data platforms built on Google Cloud, including data lakes,lakehouses, and enterprise data warehouses.
Streaming data platforms for real-time ingestion, event-driven architectures, and analytics.
Data integration and orchestration using modern workflow and pipeline automation tools.
Data platform modernization and migration, helping clients transition legacy data environments to Google Cloud.
AI-ready data foundations, ensuring high-quality, governed, and scalable data to support advanced analytics and generative AI use cases.
What You’ll Do
You will be engaged to participate in design sessions and be responsible for the timely completion of development items assigned to you in a project backlog.
You will work in a hybrid environment, with expectation to be in-person with Slalom teams and clients as needed.
You also must be within commutable distance to one of Slalom's listed office locations.
What You’ll Bring
Big Data Platforms (Dataproc, Apache Spark)
GoogleBigQuery,BigLake, Cloud SQL
Python, Java, SQL
Firestore, Bigtable, Spanner, MongoDB
Google Kubernetes Engine (GKE), Cloud Run
Pub/Sub, Dataflow, Apache Kafka
Managed Airflow,dbt,Dataplex

Nice-to-haves

Looker, Looker Studio
Gemini Enterprise, AI, ML Ops

Application prep

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Keywords to mirror

aigcpsqlpythonjavakubernetesmlagile

Platform: slalom
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Parental Leave