Staff Data Engineer
New York City
Applications have closed
Justworks, Inc.
Run your small business with Justworks’ simple PEO & payroll solutions. From HR software & compliance to company benefits, get expert support now!At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people.
We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you.
We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team.
If this sounds like you, you’ll fit right in.
DepartmentEngineering, Data Services
Who You AreYou love to take on complex data-related problems and will help create and maintain large-scale batch and real-time data pipelines that will directly influence business decisions as well as contribute to improving the quality of our data tools and large scale data infrastructure. You have a genuine appreciation for working alongside data, business & engineering partners to get things done. You have a keen sense of the big picture and can effectively drive projects towards realistic and measurable business outcomes.
As a Staff Data Engineer, you will be a key leader in driving the technical vision and long-term data strategy of the Data Services team. You will help create and maintain large-scale batch and real-time data pipelines that will directly impact key decision makers as well as drive improvements in the quality of our data and help establish standards & processes that foster a healthy, scalable data ecosystem.
Your Success ProfileWhat You Will Work On
- Architect solutions and lead the development for data pipelines and related tools to achieve high level of efficiency, trustworthiness and innovation in our data stack
- Design and implement ETL / ELT processes through cloud based solutions (Snowflake & Redshift on AWS)
- Maintain the data and cloud infrastructure using code (Terraform & AWS Serverless Application Model)
- Transform raw data into business ready datasets that are both query-able and easily understood by various business units (e.g. Sales, Marketing, Product, Eng, People Ops)
- Communicate and collaborate with partners in and out of engineering, infrastructure and data services to understand requirements and identify opportunities for improvement in our data stack
- Level up information design and data engineering practices and spread knowledge across the organization
- Mentor engineers to help them grow their technical skills by fostering a culture of continuous learning and improvement
- Keep extremely sensitive data compartmentalized and secure
- Perform other related duties as assigned
How You Will Do Your Work
As a Staff Data Engineer, how results are achieved is paramount for your success and ultimately result in our success as an organization. In this role, your foundational knowledge, skills, abilities and personal attributes are anchored in the following:
- Good judgement - the exercise of critical thinking, analyzing and assessing problems and implications, identifying patterns, making connections of underlying issues, understanding risks and developing mitigation strategies, and taking ownership of the outcome.
- Resourcefulness - taking a can-do approach, even in the face of obstacles and constraints by assessing what’s in front of you and effectively and efficiently optimizing what you have, whether it's working on something new or thinking about how to do something better.
- Teamwork and communication - putting our collective best together through documentation, collaboration, relationship-building, listening, empathy, recruiting, and evangelism.
- Influence and leadership - fostering a community of knowledge-sharing, collaboration, mentorship, and forward-thinking.
- Skills and knowledge - the capacity to actively learn and apply specific domain knowledge, know-how, and best practices to continually enhance and improve.
In addition, all Justworkers focus on aligning their behaviors to our core values known as COGIS. It stands for:
- Camaraderie - Day to day you can be seen working together toward a higher purpose. You like to have fun. You’re an active listener, treat people respectfully, and have a strong desire to know and help others.
- Openness - Your default is to be open. You're willing to share information, understand other perspectives, and consider new possibilities. You’re curious, ask open questions, and are receptive to thoughts and feedback from others.
- Grit - You demonstrate grit by having the courage to commit and persevere. You’re committed, earnest, and dive in to get the job done well with a positive attitude.
- Integrity - Simply put, do what you say and say what you'll do. You’re honest and forthright, have a strong moral compass, and strive to match your words with your actions while leading by example.
- Simplicity - Be like Einstein: “Everything should be made as simple as possible, but no simpler.”
Qualifications
- Minimum of 6 years of professional hands-on experience in data engineering, preferably with 2 years working with a modern cloud technologies (e.g. Snowflake, dbt, Fivetran, Databricks)
- Highly fluent in SQL and Python, with firm understanding of computer science fundamentals and distributed systems
- Strong experience in Amazon Web Services (AWS) with an emphasis on serverless technologies, infrastructure-as-code, and multi-account organizations
- Strong communication skills with the ability to grasp and explain complex concepts to both technical and non-technical people
- Strong experience with root cause analysis on data, infrastructure and code to improve data services
- Strong experience with governing data security and compliance
- Strong experience mentoring team members on technical projects
- Strong experience working cross-functionally on production systems
- Experience with streaming data and workflow orchestration i.e,. Kafka, Spark, Airflow, etc.
- Experience with creating and maintaining CI/CD pipelines (CircleCI, GitHub Actions)
- Comfortable with Agile and can lead teams with agile and lean approach
- Plus: Experience with developing data architectures to support Machine learning and/or Data Science needs.
Technologies Used
- AWS: S3, ECS, Fargate, Lambda, Serverless Application Model, CloudFormation, RDS, DMS, SNS, SQS, EventBridge, Kinesis, MSK, Step Functions, MWAA
- Languages: Python, SQL (prior experience with Ruby is not required, but a plus), Terraform
- Snowflake, Redshift, Fivetran, dbt, Tableau, Redash, GitHub, CircleCI, Jira
Please Note: We believe Justworks has a responsibility to support efforts to get as many people vaccinated as possible. We’re committed to safeguarding the well-being of our employees, their families and the broader community from the risks associated with COVID-19. Because this position requires onsite work, this position will require the successful candidate to show proof of vaccination against COVID-19. As an equal opportunity employer, Justworks will provide reasonable accommodation to those individuals who are unable to be vaccinated in accordance with its obligations pursuant to applicable federal, state, provincial, and local law.
Diversity At JustworksJustworks is committed to maintaining a workplace where diversity of identity, culture, and life experience is the norm and is celebrated authentically and respected consistently. Diversity in our work, our people, and our product drives creativity and innovation, entrepreneurial leadership and integrity, competitiveness, and collaboration throughout our business and in the market. We depend on our differences to make our team stronger, our workplace more dynamic, and our product accessible to all of our customers.
We’re proud to be an equal opportunity employer open to all qualified applicants regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, veteran status, or any other legally protected status.
Tags: Agile Airflow Architecture AWS CI/CD Computer Science Databricks Data pipelines Data strategy Distributed Systems ECS ELT Engineering ETL FiveTran GitHub Jira Kafka Kinesis Lambda Machine Learning Pipelines Python Redash Redshift Ruby Security Snowflake Spark SQL Streaming Tableau Terraform
Perks/benefits: Career development Startup environment Team events
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