Data Engineer: Cloud Platforms & Real-Time Analytics

Talantir; California; Hybrid; USD 99,000 - 133,000; Full time

Benefits offered by this job

401(k) with match

Health, dental, & vision coverage

Well-being reimbursement

Discounted insurance premiums

Job summary

Slalom is seeking a Data Engineer to join our hybrid team in the United States. You will build data platforms across AWS, Azure, and Google Cloud, deliver streaming and batch data pipelines, and collaborate with clients to implement transformative analytics solutions.

You will work with Spark, Redshift, Snowflake, BigQuery, Python/Java, and modern data tooling while engaging in design sessions and ensuring timely backlog delivery.

Qualifications

• Experience delivering data engineering projects on cloud platforms.
• Knowledge of distributed data processing and data warehousing.
• Strong communication and collaboration in hybrid environments.

Responsibilities

• Deliver data engineering solutions on AWS, Azure, and GCP using modern data platforms.
• Design and build data pipelines, batch/streaming processing, and data warehousing solutions.
• Participate in design sessions and ensure timely delivery of backlog items.

Skills

Big Data Platforms

Cloud Data Warehouses

Java Python

NoSQL Databases

Container Orchestration

ML/AI Tooling

Streaming Data

Data Visualization

Workflow Orchestration

Tools

AWS/Azure/GCP

Spark/Presto

Kafka/Kinesis

Tableau/PowerBI

dbt/Dagster

Airflow

Snowflake/BigQuery/Redshift

Job description

Slalom is seeking a Data Engineer to join our hybrid team in the United States. You will build data platforms across AWS, Azure, and Google Cloud, deliver streaming and batch data pipelines, and collaborate with clients to implement transformative analytics solutions.

You will work with Spark, Redshift, Snowflake, BigQuery, Python/Java, and modern data tooling while engaging in design sessions and ensuring timely backlog delivery.