Senior Data Platform Engineer - Scalable Pipelines

Gohyred; United States; Remote; USD 140,000 - 180,000; Full time

Benefits offered by this job

Flexible working hours

Birthday off

Comprehensive rewards package

Job summary

dunnhumby is seeking a Sr Big Data Engineer to join the Target data team in the United States. You will design end-to-end data solutions, build scalable pipelines, and drive data governance and security across platforms.

Collaborate with stakeholders to translate business needs into robust data architecture and modern data stack implementations. You will work with Spark, Kafka, Airflow, dbt, Snowflake, and Databricks in a fast-paced, Agile environment, contributing to strategic initiatives for

Qualifications

• Bachelors or masters in Computer Science, Information Systems, Data Science, or related field.
• Extensive experience with high level programming languages - Python, Java or Scala.
• 5+ years of experience in data architecture, data engineering, or a related field.
• Proficient in data pipeline tools such as Apache Spark, Kafka, Airflow, or similar.
• Experience with data governance frameworks and tools (e.g., Collibra, Alation, OpenMetadata).
• Strong knowledge of cloud platforms (Azure or Google Cloud), especially with cloud-native data services.
• Experience working in Agile or DevOps environments.
• Experience with modern data stack tools (e.g., dbt, Snowflake, Databricks).
• Experience with Hive, Oozie, Airflow, HBase, MapReduce, Spark along with working knowledge of Hadoop/Spark Toolsets.
• Extensive Experience working with Git and Process Automation
• In depth understanding of relational database management systems (RDBMS) and Data Flow Development.

Responsibilities

• Design end-to-end data solutions, including data lakes, data warehouses, ETL/ELT pipelines, APIs, and analytics platforms.
• Architect scalable and low-latency data pipelines using tools like Apache Kafka, Flink, or Spark Streaming to handle high-velocity data streams.
• Design /Orchestrate end-to-end automation using orchestration frameworks such as Apache Airflow to manage complex workflows and dependencies.
• Design intelligent systems that can detect anomalies, trigger alerts, and automatically reroute or restart processes to maintain data integrity and availability.
• Define and implement data governance, metadata management, and data quality standards.
• Lead architectural reviews and technical design sessions to guide solution development.
• Partner with business and IT teams to translate business needs into data architecture requirements.
• Ensure security, compliance, and regulatory requirements are addressed in all data solutions.
• Evaluate and recommend improvements to existing data architecture and processes.

Skills

Python/Java/Scala

Big data

Data pipelines

Cloud platforms

Agile/DevOps

Education

Bachelor’s/Master’s in CS/IS/DS

Tools

Apache Spark

Kafka

Airflow

dbt

Snowflake

Databricks

Job description

dunnhumby is seeking a Sr Big Data Engineer to join the Target data team in the United States. You will design end-to-end data solutions, build scalable pipelines, and drive data governance and security across platforms.

Collaborate with stakeholders to translate business needs into robust data architecture and modern data stack implementations. You will work with Spark, Kafka, Airflow, dbt, Snowflake, and Databricks in a fast-paced, Agile environment, contributing to strategic initiatives for