Senior Data Engineer Jobs

Rearc

Location:
United States, New York

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

160000.00 - 200000.00 USD / Year

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Job Description:

As a Senior Data Engineer at Rearc, you'll play a pivotal role in establishing and maintaining technical excellence within our data engineering team. Your deep expertise in data architecture, ETL processes, and data modelling will be instrumental in optimizing data workflows for efficiency, scalability, and reliability. You'll collaborate closely with cross-functional teams to design and implement robust data solutions that meet business objectives and adhere to best practices in data management. Building strong partnerships with both technical teams and stakeholders will be essential as you drive data-driven initiatives and ensure their successful implementation.

Job Responsibility:

Provide strategic data engineering leadership by shaping the vision, roadmap, and technical direction of data initiatives to align with business goals
Architect and build scalable, reliable data solutions, including complex data pipelines and distributed systems, using modern frameworks and technologies (e.g., Spark, Kafka, Kubernetes, Databricks, DBT)
Drive innovation by evaluating, proposing, and adopting new tools, patterns, and methodologies that improve data quality, performance, and efficiency
Apply deep technical expertise in ETL/ELT design, data modeling, data warehousing, and workflow optimization to ensure robust, high-quality data systems
Collaborate across teams—partner with engineering, product, analytics, and customer stakeholders to understand requirements and deliver impactful, scalable solutions
Mentor and coach junior engineers, fostering growth, knowledge-sharing, and best practices within the data engineering team
Contribute to thought leadership through knowledge-sharing, writing technical articles, speaking at meetups or conferences, or representing the team in industry conversations

Requirements:

8+ years of professional experience in data engineering across modern cloud architectures and diverse data systems
Expertise in designing and implementing data warehouses and data lakes across modern cloud environments (e.g., AWS, Azure, or GCP), with experience in technologies such as Redshift, BigQuery, Snowflake, Delta Lake, or Iceberg
Strong Python experience for data engineering, including libraries like Pandas, PySpark, NumPy, or Dask
Hands-on experience with Spark and Databricks (highly desirable)
Experience building and orchestrating data pipelines using Airflow, Databricks, DBT, or AWS Glue
Strong SQL skills and experience with both SQL and NoSQL databases (PostgreSQL, DynamoDB, Redshift, Delta Lake, Iceberg)
Solid understanding of data architecture principles, data modeling, and best practices for scalable data systems
Experience with cloud provider services (AWS, Azure, or GCP) and comfort using command-line interfaces or SDKs as part of development workflows
Familiarity with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, ARM/Bicep, or AWS CDK
Excellent communication skills, able to explain technical concepts to technical and non-technical stakeholders
Adaptability and comfort working in dynamic, fast-changing environments

What we offer:

Health Benefits
Generous time away
Maternity and Paternity leave
Educational resources and reimbursements
401(k) plan with a company contribution

Additional Information:

Job Posted:
December 11, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Senior Data Engineer