Data Engineer

DeWinter Group; Westbrook (CT); Hybrid; USD 110,000 - 140,000; Full time

Job summary

DeWinter Group is searching for a Data Engineer to design and implement scalable data pipelines using cutting-edge cloud platforms. You will ensure data integrity, performance, and fault-tolerance while enabling data-driven decision-making across the organization.

You should have 3+ years of data engineering experience, a Bachelor's degree in a related field, and be comfortable working in a hybrid model with a 5-month engagement. This W2 role supports collaboration with Maris Consulting clients.

Qualifications

• Experience building scalable data pipelines in cloud environments.
• Strong knowledge of data warehousing concepts and ETL patterns.
• Proficiency in SQL for transformations and queries.

Skills

SQL proficiency

Data warehousing

ETL & data modeling

Cloud platforms

Distributed processing

Python

RDBMS & NoSQL

Data orchestration

Education

Bachelor's degree in CS/IS/Engineering

Tools

Snowflake

Databricks

AWS

Spark

Hive

Presto

Pig

PostgreSQL

MongoDB

Cassandra

Job description

Job Title: Data Engineer - Innovate and Build Scalable Data Solutions

Overview:
Are you passionate about transforming raw data into actionable insights? We are seeking a talented Data Engineer to join a dynamic team, building robust, scalable data pipelines that empower data-driven decision-making. In this role, you'll leverage cutting-edge cloud technologies and industry best practices to craft fault-tolerant systems, ensuring high performance and data integrity. If you're eager to work on impactful projects in a collaborative environment, this is your chance to make a significant impact!

Required Skills:

• Expertise in SQL for data transformation, pipeline logic, and querying complex datasets
• Strong understanding of data warehousing concepts, ETL patterns, data modeling, testing, and deployment
• Experience designing and implementing data pipelines on modern cloud platforms such as Snowflake, Databricks, or AWS
• Proficiency with distributed data processing frameworks, including Spark, Hive, Presto, and Pig
• Familiarity with data storage solutions like operational data stores, data lakes, and data hubs
• Ability to write efficient code in Python or similar high-level languages
• Experience with database systems such as Oracle, PostgreSQL, MySQL, and NoSQL databases like Cassandra or MongoDB
• Knowledge of data virtualization and semi-structured data management

Nice to Have Skills:

• Hands-on experience with dbt Core or dbt Cloud to manage data transformation workflows
• Proficiency with Spark SQL and Python for streaming ingestion and schema evolution handling
• Experience working with file formats such as Parquet and JSON
• Familiarity with industry-standard APIs and data ingestion patterns for real-time streaming

Preferred Education and Experience:

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field
• 3+ years of professional experience in data engineering, with a proven track record of building and maintaining large-scale data pipelines in cloud environments

Other Requirements:

• Location: Hybrid model based in Westbrook, ME, with flexibility for remote collaboration
• Employment Type: W2 Only
• Availability: Start as soon as possible for an initial 5-month engagement
• Additional: Ability to monitor and ensure data system performance, compliance with operational standards, and proactive problem resolution

DeWinter Group and Maris Consulting is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We post pay scales which are based on our client pay ranges. DeWinter, Maris, and our clients have the right to modify the requirements of the role which can impact the pay ranges posted.