Data Engineer - DevOps (Remote)

Devopshunt; Raleigh (NC); Remote; USD 82,000 - 164,000; Full time

Job summary

An innovative firm is looking for a talented DevOps Data Engineer to join their Data & Analytics team. In this exciting role, you will design and maintain scalable data pipelines while collaborating with cross-functional teams to enhance the data platform. Your expertise in Python, SQL, and cloud technologies like AWS and Azure will be pivotal in streamlining data operations. This position offers a chance to work on cutting-edge infrastructure and contribute to the aerospace industry's transformation. If you're passionate about data engineering and eager to make an impact, this role is perfect for you!

Benefits

Medical, dental, and vision insurance

Three weeks of vacation

401(k) plan with employer matching

Student Loan Repayment Program

Life insurance and disability coverage

Adoption Assistance

Employee Assistance Plan

Wellness rewards program

Virtual doctor visits

Child and elder care services

Qualifications

• 5 years experience in data engineering with strong Python and SQL skills.
• Proficiency in ETL processes and cloud platforms like AWS and Azure.

Responsibilities

• Implement automated data pipelines and develop ETL workflows.
• Optimize CI/CD pipelines and manage data solutions on cloud platforms.

Skills

Python

SQL

Data Engineering

ETL Processes

Cloud Platforms

Agile Methodologies

Bash Scripting

Education

University Degree

Advanced Degree in related field

Tools

Databricks

Snowflake

Terraform

CloudFormation

AWS

Azure

Jupyter

PyCharm

Visual Studio Code

Job description

HNC99: Field Office - NC Remote Location, Remote City, NC, 27601 USA

Position Role Type:

Remote

We are seeking a talented and driven DevOps Data Engineer to join our Data & Analytics team at Collins Aerospace. In this role, you will be at the forefront of designing, developing, and maintaining scalable data pipelines and cutting-edge infrastructure. You will collaborate with cross-functional teams to enhance and innovate our data platform and capabilities, ensuring robust and efficient data operations.

What YOU will do:

1. Implement automated data pipelines using tools like Databricks, PySpark, SQL, Python, APIs and other relevant technologies to streamline data ingestion and processing.
2. Develop and maintain ETL workflows to extract, transform, and load data into systems like Databricks Delta Lake, Snowflake.
3. Develop and optimize CI/CD pipelines for deploying applications and managing infrastructure across cloud platforms (e.g., AWS, Azure).
4. Utilize tools like Terraform or CloudFormation to automate the provisioning and management of infrastructure.
5. Deploy, monitor, and manage data solutions and applications on cloud platforms such as Databricks, Snowflake, AWS, and Azure.
6. Develop and maintain scripts and applications in Python and SQL using IDEs like Databricks Notebooks, PyCharm, Jupyter, and Visual Studio Code for automation, coding, debugging, and testing.

Qualifications you must have:

1. Must be authorized to work in the U.S. without sponsorship now or in the future. RTX will not offer sponsorship for this position (U.S. Citizen or Green Card Holder).
2. Typically requires a University Degree and minimum 5 years prior relevant experience or an Advanced Degree in a related field and minimum 3 years of experience or in absence of a degree, 9 years of relevant experience.
3. 3+ years of experience in data engineering role, with proficiency in designing, implementing, and optimizing data pipelines and ETL processes.
4. Strong programming skills in Python and proficiency with libraries and frameworks such as Pandas, NumPy, and SQLAlchemy. Scripting experience in Bash for automating tasks.
5. Experience developing ETL workflows to extract, transform, and load data into systems like Databricks Delta Lake or Snowflake.
6. Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud, focusing on deploying, managing, and scaling applications and data solutions.
7. Proficient in managing and automating infrastructure deployments using tools like Terraform, CloudFormation, or Ansible.
8. Experience in designing, building, and optimizing continuous integration and continuous deployment pipelines for large-scale applications.
9. Understanding of cloud-based data lake and data warehousing solutions (e.g., Databricks, Snowflake, AWS S3, Azure Data Lake).
10. Experience working with large-scale datasets, complex data architectures, and unstructured data.
11. Strong understanding of agile methodologies and experience as a Data Engineer in a cross-functional agile team.

What We Offer:

Some of our competitive benefits package includes:

• Medical, dental, and vision insurance.
• Three weeks of vacation for newly hired employees.
• Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option.
• Student Loan Repayment Program.
• Life insurance and disability coverage.
• Optional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection.
• Birth, adoption, parental leave benefits.
• Ovia Health, fertility, and family planning.
• Adoption Assistance.
• Employee Assistance Plan, including up to 10 free counseling sessions.
• Healthy You Incentives, wellness rewards program.
• Doctor on Demand, virtual doctor visits.
• Bright Horizons, child, and elder care services.
• Teladoc Medical Experts, second opinion program.

Learn More & Apply Now!

Join Collins Aerospace to help us revolutionize the aerospace industry today!

The salary range for this role is 82,000 USD - 164,000 USD. The salary range provided is a good faith estimate representative of all experience levels.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class.