Due to the requirements of the employer’s government contracts, U.S. citizenship is required for this position.

ProSearch is seeking a highly motivated and experienced Senior Data Engineer to join a cutting-edge data engineering team supporting the accelerated advancement of global instrument data pipelines for one of Maine’s most innovative companies. This role is central to building scalable, high-performance data solutions that deliver instrument data to internal stakeholders across product, engineering, and business operations.

This is a hybrid role based in Maine, with on-site work in Westbrook required as needed. Candidates must be currently residing in Maine or able to commute reliably.

Location: Hybrid in Maine (on-site presence in Westbrook required 2 days a week)

Experience: 8+ years

Employment Type: Contract

Company: ProSearch (on behalf of an anonymous client)

Due to the requirements of the employer’s government contracts, U.S. citizenship is required for this position.

Key Responsibilities

Design and implement ingestion and storage pipelines using AWS services including S3, SNS, SQS, and Lambda
Build scalable analytical solutions leveraging modern data platforms such as Snowflake, dbt, and Airflow
Develop, maintain, and optimize fault-tolerant systems to ensure high availability of data services
Collaborate with cross-functional teams to define data needs and deliver solutions that meet evolving business requirements
Document architecture, data flows, and design decisions to support knowledge sharing and long-term maintainability
Participate in Agile ceremonies and partner closely with Quality Engineering to validate data accuracy and performance
Contribute to platform stability through well-architected, resilient code
Proactively identify and mitigate risks related to data security, privacy, and compliance

Top Required Skillsets

Strong background in AWS cloud services, especially data storage and pub/sub platforms (S3, SNS, SQS, Lambda)
Proven experience building and maintaining operational data pipelines using tools such as dbt, Airflow, and Snowflake
Strong proficiency in Python and SQL

Preferred Skillsets

Familiarity with Infrastructure as Code tools such as Terraform
Experience working in Quality Engineering or strong collaboration with QE teams
Exposure to Apache Iceberg or similar modern data lakehouse architectures
Ability to translate business requirements into scalable data solutions
Experience designing cloud-native analytics infrastructure

Required Attributes

Ability to work independently and navigate ambiguity
Strong verbal and written communication skills
Comfortable engaging with both technical and non-technical stakeholders
Planning and organizational skills with the ability to manage shifting priorities
Team-oriented mindset with a focus on delivering results in a fast-paced environment

Preferred Background

8 or more years of experience in data engineering or a similar technical role
Demonstrated success building large-scale ETL/ELT pipelines in the cloud
Strong hands-on experience with Python and modern orchestration platforms
Track record of delivering solutions that are both scalable and maintainable
Familiarity with Agile methodologies and cross-functional team environments

Success Metrics

Timely delivery of project milestones
Reduction in data pipeline downtime or failures
High quality, accessible, and trusted data made available to stakeholders
Positive feedback from engineering, product, and business partners
Active participation in team ceremonies, code reviews, and architectural planning
Contribution to velocity improvements and process optimization
Early identification and mitigation of security or compliance risks

About the Opportunity

This is a high-impact opportunity to join a modern data engineering team supporting business-critical applications. The ideal candidate brings technical depth, strategic thinking, and a collaborative mindset. You will work in an environment that values innovation, ownership, and continuous improvement.

How to Apply

You can apply directly through ProSearch. We look forward to connecting with experienced data engineers ready to take on their next challenge.

ProSearch

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