Senior Data Engineer

Rearc

full-time

Posted on: 9/26/2025

Origin: • 🇺🇸 United States • New York

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Senior

AirflowAmazon RedshiftApacheAWSCloudDynamoDBETLKafkaKubernetesNoSQLNumpyPandasPostgresPySparkPythonSparkSQLTerraform

About the role

Provide strategic vision and technical leadership in data engineering, guiding advanced data strategies
Design and architect complex data pipelines and scalable architectures using tools like Apache Kafka and Kubernetes
Optimize ETL processes, data modelling, and data warehousing for efficiency, scalability, and reliability
Collaborate closely with cross-functional teams and stakeholders to design and implement robust data solutions
Mentor and coach junior team members and foster growth in data engineering practices
Lead exploration and adoption of new technologies and methodologies to drive innovation and continuous improvement
Contribute to thought leadership through technical articles, conference presentations, and industry participation

8+ years of experience in data engineering
Strong expertise in designing and implementing data warehouse and data lake architectures, particularly in AWS environments
Extensive experience with Python for data engineering tasks and familiarity with common libraries/frameworks
Proven experience with data pipeline orchestration using Airflow, Databricks, DBT or AWS Glue
Hands-on experience with data analysis tools and libraries such as PySpark, NumPy, Pandas, or Dask
Proficiency with Spark and Databricks (highly desirable)
Experience with SQL and NoSQL databases including PostgreSQL, Amazon Redshift, Delta Lake, Iceberg, and DynamoDB
Deep knowledge of data architecture principles and best practices in cloud environments
Proven experience with AWS services, AWS CLI, SDK, and IaC tools (Terraform, CloudFormation, or AWS CDK)
Deep expertise in ETL processes, data modelling, and data warehousing
Exceptional communication skills for technical and non-technical stakeholders
Demonstrated ability to quickly adapt to new tasks and roles in a dynamic environment