Job Description
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 SnowflakeStrong proficiency in Python and SQLPreferred Skillsets
Familiarity with Infrastructure as Code tools such as TerraformExperience working in Quality Engineering or strong collaboration with QE teamsExposure to Apache Iceberg or similar modern data lakehouse architecturesAbility to translate business requirements into scalable data solutionsExperience designing cloud-native analytics infrastructureRequired Attributes
Ability to work independently and navigate ambiguityStrong verbal and written communication skillsComfortable engaging with both technical and non-technical stakeholdersPlanning and organizational skills with the ability to manage shifting prioritiesTeam-oriented mindset with a focus on delivering results in a fast-paced environmentPreferred Background
8 or more years of experience in data engineering or a similar technical roleDemonstrated success building large-scale ETL / ELT pipelines in the cloudStrong hands-on experience with Python and modern orchestration platformsTrack record of delivering solutions that are both scalable and maintainableFamiliarity with Agile methodologies and cross-functional team environmentsSuccess Metrics
Timely delivery of project milestonesReduction in data pipeline downtime or failuresHigh quality, accessible, and trusted data made available to stakeholdersPositive feedback from engineering, product, and business partnersActive participation in team ceremonies, code reviews, and architectural planningContribution to velocity improvements and process optimizationEarly identification and mitigation of security or compliance risksAbout 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.