Position Details

Salary $153K – $154K USD / year

Type Full-Time

Experience senior

Exp. Years 5+ years

Education Bachelor's degree in Computer Science, or related field

Category Data & Analytics

About this role

Senior Data Engineer responsible for designing and delivering large-scale data processing solutions on cloud platforms. Will build and maintain data pipelines for ingestion and processing, mentor teammates, and collaborate across functions to enable data-driven capabilities.

Key Responsibilities

Design frameworks for large-scale data processing
Develop data pipelines on Google Cloud Platform using Google Data Flow and Data Proc
Ingest data via REST APIs / Microservices and define workflows
Collaborate with cross-functional teams to deliver data solutions
Mentor team members on best practices

Technical Overview

Cloud-based data engineering scope including Google Cloud Platform, BigQuery, Databricks, Spark; data ingestion via REST APIs / microservices; CI/CD for data pipelines using Docker, GitHub, and Jenkins; programming in Java/Python; SQL/NoSQL databases.

Ideal Candidate

The ideal candidate is a senior data engineer with 5+ years of experience building large-scale data pipelines on cloud platforms (GCP/AWS/Azure). They should be proficient in Java/Python, SQL/NoSQL, and modern data tooling like BigQuery, Databricks, Spark, and Kafka Streams, with a track record of delivering end-to-end data ingestion and processing solutions.

Must-Have Skills

Bachelor's degree in Computer Scienceor relatedFive (5) years of development or related experienceFive (5) years of development experience in Big data platforms (HadoopDatabricks on AWSAzureor GCP cloud)Experience in design and development of data pipelines leveraging batch and real-time data ingestion frameworks and spark streamingExpertise in JavaPython or any scripting languageSQL/NoSQLExperience in Big Data tools and technologies such as BigQueryDatabricksSnowflakeSparkor Kafka StreamsExperience in test automations ensuring data qualitycontinuous integrations build and deployment processes using DockerGitHubJenkins and Unix/Linux shell scriptsExperience developing complex services/solutions based on Enterprise Integration Patterns and Coding best practices

Nice-to-Have Skills

Spark streamingKafkaSnowflakeAirflowKubernetes

Tools & Platforms

Google DataflowData ProcBigQueryDatabricksSparkKafka StreamsHadoopDockerJenkins

Required Skills

Senior Data EngineerData EngineerGoogle Cloud PlatformGCPGoogle Data FlowBigQueryDatabricksSparkKafka StreamsHadoopAWSAmazon Web ServicesAzureSQLNoSQLJavaPythonDockerGitHubJenkinsUnix/LinuxREST APIsMicro ServicesEnterprise Integration Patterns

Hard Skills

Senior Data EngineerData EngineerGoogle Cloud PlatformGCPBigQueryDatabricksSparkKafka StreamsHadoopAWSAmazon Web ServicesAzureSQLNoSQLJavaPythonDockerGitHubJenkinsUnix/LinuxREST APIsMicro Services

Soft Skills

MentoringCommunicationTeamworkProblem-solvingAttention to detailAdaptability

Industry & Role

Industry Retail

Job Function Lead cloud-based data ingestion and processing solutions to power Ulta's data-driven capabilities

Role Subtype Data Engineer

Tech Domains Google Cloud Platform, Microsoft 365, Amazon Web Services, Google Cloud Platform, Databricks, BigQuery, Apache Spark, SQL / PostgreSQL

Keywords for Your Resume

Deal Breakers

Bachelor's degree in Computer Science or related field is required, Minimum 5 years data engineering experience, Lack of hands-on experience with GCP / BigQuery / Databricks, No experience with Hadoop, Spark, or Kafka Streams, Not willing to work onsite in Bolingbrook, Illinois

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