Inclusively is partnering with one of the largest transportation networks to hire a Data Engineer. **Please note: this role is NOT an internal position with Inclusively but with the partner company.**
ABOUT INCLUSIVELY:
Inclusively is a digital tech platform that connects candidates with disabilities, who may benefit from workplace accommodations, to inclusive employers. This includes all disabilities under the ADA, including mental health conditions (e.g. anxiety, depression, PTSD), chronic illnesses (e.g. diabetes, Long COVID), and neurodivergence (e.g. autism, ADHD).Applicants with one or more of these conditions are encouraged to apply; Inclusively does not require applicants to disclose their specific disability.
As a Data Engineer at our company, you will be a part of an early stage team that builds the data transport, collection, and storage, and exposes services that make data a first-class citizen at our company. We are looking for a Data Engineer to build a scalable data platform. You will proactively propose new ideas, evaluate multiple approaches and choose the best one based on fundamental qualities and supporting data. Communicate highly technical problems working along with our cross-functional team. You’ll have ownership of our core data pipeline that powers our top-line metrics; You will also use data expertise to help evolve data models in several components of the data stack; You will help architect, building, and launching scalable data pipelines to support our growing data processing and analytics needs. Your efforts will allow access to business and user behavior insights, using huge amounts of our data to fuel several teams such as Analytics, Data Science, Engineering, and many others.
You will report to an Engineering Manager.
Responsibilities:
- Owner of the core company data pipeline, responsible for scaling up data processing flow to meet the rapid data growth at our company
- Evolve data model and data schema based on business and engineering needs
- Implement systems tracking data quality and consistency
- Develop tools supporting self-service data pipeline management (ETL)
- SQL and MapReduce job tuning to improve data processing performance
- Write well-crafted, well-tested, readable, maintainable code
- Participate in code reviews to ensure code quality and distribute knowledge
- Unblock, support and communicate with internal & external partners to achieve results
Experience:
- 4+ years of relevant professional experience
- Strong experience with Spark
- Experience with Hadoop (or similar) Ecosystem, S3, DynamoDB, MapReduce, Yarn, HDFS, Hive, Spark, Presto, Pig, HBase, Parquet
- Strong skills in a scripting language (Python, Ruby, Bash)
- Good understanding of SQL Engine and able to conduct advanced performance tuning
- Proficient in at least one of the SQL languages (MySQL, PostgreSQL, SqlServer, Oracle)
- 1+ years of experience with workflow management tools (Airflow, Oozie, Azkaban, UC4)
- Comfortable working directly with data analytics to bridge our business goals with data engineering
- Preferred to have experience of building and maintaining customer care related data tables as a Data Engineer for large organizations
Benefits:
- Great medical, dental, and vision insurance options
- Mental health benefits
- Family building benefits
- In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
- 401(k) plan to help save for your future
- 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
- Pre-tax commuter benefits
This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.
The expected range of pay for this position in the San Francisco Bay Area is $139,500 - $155,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
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