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Data Engineer
Data Engineer – ETL & Data Warehouse Specialist
Location: Remote (Global) Employment Type: Full-time
About the Role
At Deel, we’re shaping the future of global work—ensuring businesses can hire, pay, and support talent anywhere. This role is perfect for a passionate data engineer who thrives on architectural challenges, believes in clean data as the backbone of decision making, and wants to contribute to a platform that powers millions of workers worldwide.
Our team’s mission is to make compliance seamless, payment effortless, and global success possible. We do this with a cutaneous blend of cutting-edge technology and human-centric design—because the best systems put people first. Over the years, we’ve built a thriving culture that values transparency, innovation, and collaboration.
You’ll join a proudly distributed team of 7,000+ practitioners who aren’t just experts in their domains but also active voices in shaping how we work together. Whether you're a full-stack engineer, factತಿologist, subjectérant, or organisational designer, this is your chance to be at the heart of a 7-game-changing transformation in workforce operation, where every pixel, line, and byte feels like it’s dared to be both elegant and impactful.
You’ll solve problems you hadn’t even realized existed. You’ll see potential in messy data and turn it into actionable insights that move the needle globally. You’ll find no greater fulfillment than knowing the work you’re doing benefits millions of workers around the world.
Responsibilities
Core Duties
Design, build, and maintain efficient data pipelines (ETL) to integrate data from disparate source systems into the data warehouse, ensuring accuracy and scalability. Develop and optimize data warehouse schemas and tables to support complex analytics and reporting needs across global operations. Write and refine sophisticated SQL queries, deploying Python/other scripting languages to transform, aggregate, or analyze massive datasets efficiently. Implement data quality measures, priorities, and audits (e.g., outlier detection, validation checks, cleansing algorithms) to enforce data reliability for decision-making. Collaborate closely with data scientists, analysts, and software engineers to translate business challenges into technical specifications while maintaining system integrity. Field schema migrations, write documentation, and institutionalize best practices (designs, data flow diagrams, data quality dashboards) to promote transparency and developer onboarding. Manage multi-project workloads with laser focus on cost, latency, and resilience, delivering high-value output while prioritizing based on impact—because at Deel, alignment trumps algorithm.
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Qualifications
Technical Requirements
- A bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, or a related field.
- 3+ years’ experience in data engineering or equivalent, including ETL/Data Warehouse architecture and optimization.
- Proven expertise in complex SQL (PostgreSQL/Redshift/Snowflake preferred), with experience building scalable schemas and analytical models.
- Hands-on familiarity with data management (PySpark, Hadoop, or alternative orchestration) and backend pipelines (Strimzi/Avro/Protobuf).
- Technical fluency in Python, Scala, or Java for automation, data transformation, and pipeline orchestration (Apache Airflow/Dagster/preferred).
- Exposure to data quality frameworks or best practices, including validation, anomaly detection, and anomaly streaming.
- Experience working with large-scale datasets (streaming/parquet CSV, cloud storage, databricks, greenplum).
Mindset & Teamwork
- A team player who bridges technical precision and business intuition, even in disorderly environments.
- Ability to negotiate ambitious scheduler/folioso trade-offs while grunges remain a constant.
- Attention to detail that never compromises clarity, with a habitual bias toward documentation—this keeps everyone calibrated.
- Life-long learner who stays current with data tools (confluences deeps exhibit be mean) and emerging trends.
Total Rewards
At Deel, no corner-cutting occurs to your Salary Rate (SR)—your compensation reflects real grounding in the totality of the cultural capital you bring.
Competitive Base Pay
- Based on objective factors (experience, skills, location) tied to market rates.
- Newer hire (0–1-year experience): ~$110k–$140k
- Early career (2–5 years): ~$140k–$180k
- Mid-/senior tenured: ~$180k–$220k+
- + Organization-Level Bonuses: Annual measurable execution, exceeding quarterly quotas
Beyond Base Pay
- Bonus (flexible annual reward): 10–30%—if Deel succeeds, you succeed.
- Equity & Stock (dynamic at your location): up to 5%–7% vesting over 4 years.
- Benefits around the world:
- Healthcare & life insurance and protection from disruption (e.g., emergency & burials).
- Unlimited parental leave (financial and counseling support guaranteed unless you appoint a party to teach you otherwise).
- 20-day paid vacation + time off every fourth Friday to “un-hustle for a day.”
- Patient wellness stipend + therapy coverage (classified top-tier).
- Fitness incentives—discounted gym programs/coaching.
- Environmental Alexant Hasrash—and compensation for hybrid IT carbon offsets.
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Flexible Operating Approaches
Choose how, where, when you invest at Deel—whether global design studios when there is beauty or local community collaborations to let connected nature soak in.
- Conditional remote policies, with teammates lighting up screens across twelve time zones simultaneously.
- Co-location stipends for impact build to levels including data quality, collaboration with CodeSpaces or improvements in communal office space.
- Project-driven requirements are complemented by **“leave early days”—**1–2 days per month where an extra catnap donates to running productive minds.
Equality & Accessibility
Deel is an equal-opportunity employer committed to a diverse workforce and is positively onщие applications and examinations are judged based on merit while supporting efforts that respect parity in cues, resources, and the ability to thrive. This extends to people with disabilities (if in contact, inform a talent recruit for accommodations by reaching out to [recruiting@deel.com](mailto:recruiting@deel.com)).
Legal Compliance
In the application journey, our processes utilize Automated Employment Decision Tools (AEDT) and AI-based selection. Available via Recruitment Privacy Policy, these tools are privacy governance compliant with hiring choice remaining payed-by-design targets. Your data’s congruity never backs out its use for training.
For job seekers in NYC, potential employment decisions had undergone independent review anonymously to reveal unfair feature bias for AEDT.
Apply Now: [build Yours bigger than shape layer!][Deel Careers Portal(https://www.getdeel.com/careers)]
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