Data Engineer

Atlas Atlantic Group; Pittsburgh (Allegheny County); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Health benefits

401(k) with company matching

Flexible work environment

Job summary

Atlas Atlantic Group in Pittsburgh, PA is hiring a Data Engineer to design, develop and maintain robust data pipelines. You will ensure data quality, work with data scientists and analysts, and help optimize our data infrastructure to support business objectives.

The role involves collaboration in a fast-paced team, participation in daily stand-ups, and leveraging SQL, Python, and big data tools like Hadoop, Spark, or Snowflake to deliver reliable data solutions.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, or related field.
• 3–5 years of experience in data engineering.
• Proficiency in SQL and Python.
• Experience with ML frameworks such as TensorFlow or PyTorch is a plus.

Responsibilities

• Design, develop, and maintain data pipelines.
• Ensure data quality and integrity across systems.
• Collaborate with data scientists, analysts, and engineers.
• Participate in daily standups and use Jira/Confluence for task management.
• Support optimization of data infrastructure and modeling.

Skills

Python

SQL

ETL

Data pipelines

Hadoop

Spark

Snowflake

Education

Bachelor's degree in Computer Science, Data Engineering, or related field

Tools

Jira

Confluence

Job description

Atlas Atlantic Group, a leading logistics and supply chain company, is seeking a Data Engineer in Pittsburgh, PA. This full-time role offers the opportunity to work in a dynamic and fast-paced environment, contributing to the optimization of our data processes.

As a Data Engineer, you will be responsible for designing, developing, and maintaining data pipelines, ensuring data quality and integrity. You will also work closely with our team to identify and implement solutions that enhance our data infrastructure and support our business objectives.

You will be part of a collaborative team in our Pittsburgh office, working alongside data scientists, analysts, and other engineers. In this role, you will engage in daily stand-up meetings to discuss progress, challenges, and plans for the day, using tools like Jira and Confluence for task management and documentation. You'll collaborate on developing and refining machine learning models, conducting data analysis, and implementing software solutions. Our workplace culture fosters innovation, continuous learning, and a commitment to excellence. This includes regular knowledge-sharing sessions, workshops, and access to online learning platforms. You'll be expected to have a bachelor's degree in computer science, engineering, or a related field, along with proficiency in programming languages like Python and SQL. Experience with machine learning frameworks such as TensorFlow or PyTorch is a plus. Our office is equipped with the latest hardware and software tools to support your work. You'll have access to high-performance computing resources, cloud platforms, and various data visualization tools. The office is designed to promote open communication and teamwork, with shared spaces for brainstorming sessions and individual workstations. We value a diverse and inclusive environment, and our team includes members from various backgrounds and experiences.

The compensation package for this role includes a attractive compensation, comprehensive health benefits, and opportunities for professional development. We also offer a 401(k) plan with company matching, and a flexible work environment.

To excel in this role, you should have a Bachelor's degree in Computer Science, Data Engineering, or a related field. You should also have 3-5 years of experience in data engineering, proficiency in SQL, Python, and at least one big data technology such as Hadoop, Spark, or Snowflake.

The application deadline is July 31, 2023. Join us and help shape the future of logistics and supply chain data.

Design, build, and maintain efficient, reusable, and reliable data infrastructure. Develop and implement data pipelines to collect, process, and analyze data from various sources. Optimize data storage and retrieval systems to ensure optimal performance and scalability.Bachelor's degree in Computer Science, Data Engineering, or a related field. Proven experience as a Data Engineer or similar role, with a strong understanding of data modeling and ETL processes. Proficiency in SQL, Python, and at least one big data technology (e.g., Hadoop, Spark, or similar). Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) is a plus.