Remote Staff Data Engineer

Description:

• We are searching for a talented and motivated Staff Data Engineer to join our growing data team.
• In this role, you will play a key role in designing, building, and maintaining data pipelines that deliver high-quality data to our data warehouse and other analytics platforms.
• You will work closely with data scientists, analysts, and other engineers to ensure that our data infrastructure meets the needs of the business.
• Responsibilities include designing, developing, and implementing scalable data pipelines using ETL processes.
• You will write and execute complex SQL queries to extract and transform data from various sources.
• The role involves developing and maintaining Python scripts for data manipulation, automation, and data quality checks.
• You will design and implement data models to optimize data storage and retrieval.
• Monitoring and maintaining the data pipelines to ensure data quality, accuracy, and timeliness is essential.
• Collaboration with data scientists and analysts to understand data needs and develop solutions is required.
• You will document data pipelines and processes for future reference and maintainability.
• Staying up-to-date on the latest data engineering tools and technologies is expected.
• You will attend communities of practice to keep the team up-to-date on best practices and org-wide initiatives.
• Unblocking or mentoring developers to keep stories moving is part of the role.
• Participation in the entire Agile development lifecycle, including sprint planning, stand-ups, and retrospectives, is required.

Requirements:

• Experience in designing, developing, and implementing ETL pipelines is essential.
• Proficiency in SQL and experience with relational databases such as MySQL or PostgreSQL is required.
• Strong programming skills in Python, including libraries like Pandas and NumPy, are necessary.
• Extensive knowledge of agile methodologies is expected.
• The ability to work independently and as part of a team is crucial.
• Strong knowledge of cloud computing platforms, such as AWS, Azure, or Google Cloud, is required.
• Experience with CI/CD practices for data engineering workflows is necessary.
• Nice to have: Experience with Google Cloud, BigQuery, CloudSQL, gGRPC, and Kubernetes.
• Nice to have: Experience with orchestration/scheduling tools such as Apache Airflow, Prefect, or similar.
• Nice to have: Experience in AdTech, including knowledge about Ad networks, ad exchanges, programmatic advertising, DMPs, DSPs, and Audiences.

Benefits:

• Competitive compensation packages, stock options offered to every employee, and a Bonusly program to reward and recognize team wins and performance are provided.
• Employees can take up to 40 hours of paid time per year to volunteer and give back to the community.
• Flexibility is offered through a Flexi-Friday benefit, hybrid or remote work options for most roles, and time-zone friendly work hours with async collaboration.
• Team offsites are planned annually, and there are six employee resource groups, regular virtual and in-office team building events, and monthly company All Hands & leadership Q&As.
• PTO allowance to recharge, comprehensive healthcare options, and paid parental leave (16 weeks for birthing parents; 12 weeks for non-birthing parents) are included.
• Retirement contributions and investment options are available for applicable locations, along with travel benefits (hotel stay benefit & IATA membership) and mental health, wellness & financial health resources.
• A learning & development stipend, mentorship program, career development programs, and leadership training are provided for growth.
• Home office tech setup (laptop, monitor, keyboard, mouse), monthly internet and phone allowance, and modern tools to communicate and collaborate (Slack, Google Suite) are included for productivity.