Data Engineer II for Hybrid – Maine

Compunnel Inc.

Westbrook (ME)

Hybrid

USD 68,880 - 73,012

Full time

14 days+

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Job summary

A leading IT services company is seeking an Assistant Manager – Recruitment for a hybrid role based in Westbrook, ME. The ideal candidate will have a strong background in AWS cloud services and data pipelines. Key responsibilities include designing ingestion and storage solutions and collaborating with cross-functional teams to meet data processing needs. This full-time position offers the opportunity to work in a dynamic environment and participate in testing and quality engineering processes.

Qualifications

  • Strong background in AWS cloud services focusing on data storage and pub/sub platforms (S3, SNS, SQS, Lambda).
  • Proven experience in building and maintaining operational data pipelines with modern technologies.
  • Experience in data services and ETL/ELT pipelines using Infrastructure as Code.

Responsibilities

  • Design and implement ingestion and storage solutions using AWS.
  • Develop and implement analytical solutions leveraging Snowflake and Airflow.
  • Collaborate with teams to meet data processing needs.

Skills

AWS cloud services
Data pipelines
SQL
Python

Tools

DBT
Airflow
Snowflake
Terraform

Job description

Assistant Manager – Recruitment @ Compunnel Inc.

Location: Hybrid – Maine (Candidates must be able to work on-site in Westbrook at least 2x/week)

Base Pay Range

$50.00/hr - $53.00/hr

Interview Process
  • 2nd round – Technical Interview with Panel
On-Call Rotation

Once a month & Rotation lasts 1 week for 24/7 support

Top 3 Required Skillsets
  • Strong background in AWS cloud services, focusing on data storage and pub/sub platforms (S3, SNS, SQS, Lambda, etc.)
  • Proven experience in building and maintaining operational data pipelines, particularly with modern technologies like DBT, Airflow, and Snowflake
  • Experience building data services and ETL/ELT pipelines in the cloud using Infrastructure as Code and large-scale data processing engines
  • Strong experience with SQL and one or more programming languages (Python preferred)
Nice-to-Have Skillsets
  • Familiarity with Infrastructure as Code solutions like Terraform
  • Experience with Quality Engineering (QE) processes
Key Responsibilities
  • Design and implement ingestion and storage solutions using AWS services (S3, SNS, SQS, Lambda)
  • Develop and implement analytical solutions leveraging Snowflake, Airflow, Apache Iceberg
  • Collaborate with cross-functional teams to understand and meet data processing needs
  • Develop and maintain scalable and reliable data solutions that support operational and business requirements
  • Document data flows, architecture decisions, and metadata for maintainability and knowledge sharing
  • Design and implement fault-tolerant systems, ensuring high availability and resilience
  • Actively participate in testing and QE processes, collaborating with the QE team to ensure reliability and accuracy
Seniority Level

Mid-Senior level

Employment Type

Full-time

Job Function

Information Technology

Industries

IT Services and IT Consulting

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