Data Engineer II

Essential Job Functions

You'll use your experience to achieve this in several modes of work, with expectations along these dimensions are flexible depending on seniority:

• Design and architecture—Creating and proposing implementations that prioritize simplicity, reliability, and developer experience
• Teaching and mentorship—Pair with other engineers to transfer knowledge or onboard colleagues to new areas
• Optimization and review—Paying down technical debt, methodically improving performance and cost, providing high-quality feedback on PRs and RFCs to simplify the surface area of our platform
• Experimentation—Participating in and providing feedback on platform additions or changes
• Troubleshooting—Applying your experience to find and address bottlenecks or unpack complex bugs. This includes troubleshooting in advance with good observability practices!

This engineering level is expected to independently own features and provide feedback to other members. You will be asked to provide input to platform design and other meta-systemic planning, but not to be independently responsible for strategic technical decisions.

Preferred Skills

Required:

• Experience programming in any language in a collaborative engineering environment, Python preferred
• Familiarity with infrastructure as code (e.g. Terraform, Pulumi)
• Moderate SQL skills (especially tuning for performance and cost on OLAP query engines)
• Experience with at least one OLAP processing engine such as Spark, Snowflake, BigQuery, Clickhouse, etc
• Experience with public clouds (e.g. AWS, Azure, GCP, or DO)
• Ability to reason about designs for data systems and pipelines

Good to have:

• Experience with containerization
• Experience dealing with governance and security for data infrastructure
• Experience with streaming transport (e.g. Kafka, Pub/Sub) and stream processing
• Expertise with CDC fundamentals and database replication

 Education and Experience

• Quantitative bachelors’ degree preferred but not required
• Prior experience in a data engineering or data-heavy backend software engineering role

 

WHY SHOULD YOU WORK FOR CRANE?

At Crane, we believe in providing our employees with excellent benefits at a Great Place to Work.

We offer:

• Quarterly Incentive Plan
• 136 hours of Paid Time Off which equals 17 days for the year, that can be used for Sick Time or for Personal Use
• Excellent Medical, Dental and Vision benefits
• Tuition Reimbursement for education related to your job
• Employee Referral Bonuses
• Employee Recognition and Rewards Program
• Paid Volunteer Time to support a cause that is close to your heart and contributes to our communities
• Employee Discounts
• Wellness Incentives that can go up to $100 per year for completing challenges, in addition to a discount on contribution rates

Come join the leader in logistics and take your career in the right direction.

Disclaimer:

The above statements are intended to describe the general nature and level of work being performed by people assigned to this position. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

We maintain a drug-free workplace and perform pre-employment substance abuse testing.

This position requires the final candidate to successfully pass an E-Verify Check.

More Information: http://www.dhs.gov/e-verify 

Company benefits are contingent upon meeting eligibility requirements and plan conditions.