At Jobscan, we’re passionate about empowering job seekers to land more interviews with AI technology. We have helped millions of job seekers get more interviews in 100+ countries. Jobscan’s platform benefits job seekers, employers, universities, and communities. We're a fast-growing remote startup. We are completely customer-funded without VC investments, profitable, and growing exponentially. Without investor pressure, we can be even more customer-focused. You get the stability you need while being a part of an accelerating startup.
We handle vast amounts of data to help job seekers succeed, and we need an experienced Data Engineer to optimize our pipelines for reliability, efficiency, and quality. As part of our distributed engineering team, you will play a crucial role in shaping the future of our data assets.
\n- Diagnose and Resolve Issues: Troubleshoot and fix data issues within our existing pipeline, which is built on Segment.
- ETL Development: Design, implement, and maintain ETL processes tailored for BigQuery and MySQL while adhering to privacy and governance principles.
- Data Cleansing: Develop and implement data validation and transformation solutions as an integral part of our ETL workflows.
- Data Integration: Utilize Segment for optimized data collection, integration, and management.
- Stakeholder Collaboration: Work closely with stakeholders to tackle specific data integrity and quality issues.
- Teamwork: Collaborate with our Senior Data Analyst and engineering team to refine data models and architectures.
- SQL Optimization: Write and fine-tune SQL queries for performance and scalability in BigQuery and MySQL environments.
- Documentation: Maintain meticulous documentation for all data processes and updates.
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 7+ years of relevant experience in data engineering, especially in data pipeline cleanup and ETL processes.
- Direct experience with Customer Data Platforms (CDP) such as Segment, Rudderstack, or Treasure Data.
- Mastery of SQL with hands-on experience in BigQuery and MySQL.
- Proficient in Google Cloud Platform services, particularly BigQuery and Google Analytics 4.
- Experience with modern programming languages like Python, R, JavaScript, and PHP.
- Exceptional problem-solving and communication skills.
- Proven expertise in data schemas and data cleaning principles.
- Specific prior experience with Segment for data integration is a strong plus.
- Capability to read and understand PHP and JavaScript code to collaborate effectively with our engineering team.
- Proven track record in tackling data quality and integrity issues in team settings.
Benefits
- Remote work - we trust you to get your work done and make it to your meetings👩💼👨💼
- Competitive salary + stock options - you should have a piece of what we're building here🏗️
- Flexible schedule - we make it easy to take care of the important things, like your family and health👪👩⚕️
- Unlimited PTO + 14 Paid Holidays + Paid Sick Days - we want our employees to have time to care for their personal wellness and mental health💆♀️💆
- Paid maternal/parental leave - enjoy time with your family's new addition👩🍼👨👩👧
- 401(k) + employer match 💸
- Medical, dental, vision, and life insurance with generous employer contributions🏥
- Health savings accounts
- Life insurance
- $1000 office stipend; monthly education and internet stipend
- Wellness stipend - use for yoga class, gym membership, or anything that improves your personal wellness🧘♀️
- Apple computer or PC of your choice
- Bi-annual company retreats
Jobscan is committed to equal pay; diversity, equity, and inclusion; and As we continue to grow, we are always adding more benefits and perks for our team.
Jobscan provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
