Time since we first saw it
Day 22
Similar jobs usually come down between day 6 and day 54.
From 10,782 similar postings that came down. Coming down is not always a hire.
Senior Data Engineer - Digital Marketing (Santo Domingo)
Santo Domingo · Dominican Republic
Live, first seen by us 22 days ago- Pay
- Pay not listed
- Work setting
Remote — work setting source
Location type: Remote
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Operations › Delivery — team source
Department: Operations › Delivery
From the employer’s posting
What you’ll work on
Full postingDesign, build, and maintain scalable ETL pipelines for large-scale data processing
Run complex data transformations and workflows in PySpark and Databricks
Fine-tune pipelines for performance, scalability, and cloud cost-efficiency
Debug and prevent data processing and pipeline bottlenecks
Translate business requirements into data solutions with engineering and business teams
From the employer’s posting
Design, build, and maintain scalable ETL pipelines for large-scale data processing.
Work extensively with PySpark and Databricks to execute complex data transformations and workflows.
Fine-tune data pipelines to maximize performance, scalability, and cloud cost-efficiency.
Debug, resolve, and prevent complex data processing and pipeline bottlenecks.
Partner with engineering and business teams to translate requirements into high-quality data solutions.
Benefits in the posting
Full benefits wording- Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
From the employer’s posting.
About Truelogic
At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York.
In the employer’s words · Read in context · Company website ↗
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 13, 202622 days ago
- Recorded sightings
- 66
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Truelogic is hiring
29 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is picking up
- Takes jobs down quickly
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Databricks
- PySpark
Where the posting names them
- Core Technologies: Strong proficiency in PySpark and extensive hands-on experience with Databricks. - Specialized Expertise: Advanced knowledge of Databricks AutoLoader, Python, best practices, performance tuning, and compute cost optimization. - Data Architecture: Deep understanding of end-to-end ETL processes, complex data transformations, and pipeline optimization.
- Pipeline Architecture: Design, build, and maintain scalable ETL pipelines for large-scale data processing. - Core Tech Stack: Work extensively with PySpark and Databricks to execute complex data transformations and workflows. - Optimization & Efficiency: Fine-tune data pipelines to maximize performance, scalability, and cloud cost-efficiency.
- Experience: 5–7 years of hands-on data engineering experience building production-grade solutions. - Core Technologies: Strong proficiency in PySpark and extensive hands-on experience with Databricks. - Specialized Expertise: Advanced knowledge of Databricks AutoLoader, Python, best practices, performance tuning, and compute cost optimization.
Your next step
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
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- No account needed. “Autofill from resume” at the top of the form fills the key fields from your file.
Already applied? Track this application
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
About Truelogic
Job Summary
At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.
Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.
By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.
Our ClientOur client is a challenger holding company built to transform marketing through a faster, cheaper, and more accessible media mix modelling (MMM) and scenario planning solution.
Job Summary
They are looking for a skilled Data Engineer with 5–7 years of experience to join their team. The ideal candidate will have hands-on expertise in ETL pipelines, data transformations, and performance optimization, with strong problem-solving skills and the ability to communicate effectively across technical and non-technical teams.
Responsibilities
Pipeline Architecture: Design, build, and maintain scalable ETL pipelines for large-scale data processing.
Core Tech Stack: Work extensively with PySpark and Databricks to execute complex data transformations and workflows.
Optimization & Efficiency: Fine-tune data pipelines to maximize performance, scalability, and cloud cost-efficiency.
Cross-Functional Collaboration: Partner with engineering and business teams to translate requirements into high-quality data solutions.
Troubleshooting & Maintenance: Debug, resolve, and prevent complex data processing and pipeline bottlenecks.
Data Standards: Enforce best practices for data quality, governance, and system performance.
Qualifications and Job Requirements
Experience: 5–7 years of hands-on data engineering experience building production-grade solutions.
Core Technologies: Strong proficiency in PySpark and extensive hands-on experience with Databricks.
Specialized Expertise: Advanced knowledge of Databricks AutoLoader, Python, best practices, performance tuning, and compute cost optimization.
Data Architecture: Deep understanding of end-to-end ETL processes, complex data transformations, and pipeline optimization.
Core Competencies: Exceptional problem-solving skills and the ability to communicate technical concepts clearly across both technical and business teams.
What We Offer
100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.
Why You’ll Like Working Here
A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.
Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.
Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.
Apply now!
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Dominican Republic
What We Offer - 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection. - Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.