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Day 155
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Open 5 months, first seen by us 155 days agoLocation type: RemoteFrom the employer’s posting
Employment type: Full-timeFrom the employer’s posting
Department: Future Opportunities - DataFrom the employer’s posting
Design and build scalable data infrastructure for risk and compliance workloads
Develop batch and streaming pipelines with modern big data technologies
Build ETL and ELT workflows across structured and unstructured data sources
Build low-latency systems for real-time or near-real-time decisions
Replace manual workflows with automated, repeatable systems
Design, build, and optimize scalable data infrastructure for risk and compliance workloads
Develop batch and streaming pipelines using modern big data technologies
Implement robust ETL and ELT workflows across diverse structured and unstructured data sources
Build high-throughput, low-latency systems that support real-time or near-real-time decision making
Replace manual workflows with automated, repeatable systems
Bachelor’s degree in Computer Science, Engineering, Mathematics, or similar
Familiarity with machine learning concepts
3 or more years of hands-on experience in data engineering or related fields
Strong proficiency in SQL and data modeling for analytics and warehousing
Experience building ETL or ELT pipelines at scale
Experience with big data technologies such as Hadoop, Hive, Spark, HBase, or EMR
Experience with AWS data services such as Redshift, S3, Glue, EMR, Kinesis, Firehose, and Lambda
Experience working with non-relational data stores such as document, key-value, column-family, or graph databases
Experience collaborating with cross-functional risk, compliance, or analytics teams
Strong understanding of data governance, quality, and security best practices
Basic qualifications - Bachelor’s degree in Computer Science, Engineering, Mathematics, or similar - 3 or more years of hands-on experience in data engineering or related fields
Open 5 monthsWe first saw this posting 155 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 155
Up longer than most. Similar jobs usually come down between day 6 and day 54.
From 10,764 similar postings that came down. Coming down is not always a hire.
8 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
- Knowledge of distributed systems and data storage principles - Basic scripting skills in Python or Scala - Familiarity with machine learning concepts
- 3 or more years of hands-on experience in data engineering or related fields - Strong proficiency in SQL and data modeling for analytics and warehousing - Experience building ETL or ELT pipelines at scale
Solvd is looking for a highly skilled Data Engineer to help design and build modern data platforms that support large-scale risk and compliance initiatives for enterprise clients. In this role, you will architect and implement scalable data systems, real-time pipelines, and analytics capabilities that transform complex datasets into actionable insights. You will partner with cross-functional teams—including data scientists, software engineers, and product stakeholders—to enable reliable, high-quality data solutions. This role requires strong technical depth in big data technologies, AWS services, and distributed systems, along with the ability to understand business needs and contribute to strategic decision-making. What you will do
Cloud Data Engineering - Work extensively with AWS services including EMR, Redshift, S3, Glue, Lambda, Kinesis, and related data tools - Build high-throughput, low-latency systems that support real-time or near-real-time decision making
Preferred qualifications - Experience with AWS data services such as Redshift, S3, Glue, EMR, Kinesis, Firehose, and Lambda - Experience working with non-relational data stores such as document, key-value, column-family, or graph databases
- Experience building ETL or ELT pipelines at scale - Experience with big data technologies such as Hadoop, Hive, Spark, HBase, or EMR - Knowledge of distributed systems and data storage principles
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed one other Data Engineer job there since September 2026. It came down after 11 days.
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.
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.
Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
Solvd is looking for a highly skilled Data Engineer to help design and build modern data platforms that support large-scale risk and compliance initiatives for enterprise clients. In this role, you will architect and implement scalable data systems, real-time pipelines, and analytics capabilities that transform complex datasets into actionable insights.
You will partner with cross-functional teams—including data scientists, software engineers, and product stakeholders—to enable reliable, high-quality data solutions. This role requires strong technical depth in big data technologies, AWS services, and distributed systems, along with the ability to understand business needs and contribute to strategic decision-making.
Data Architecture and Platform Development
Design, build, and optimize scalable data infrastructure for risk and compliance workloads
Develop batch and streaming pipelines using modern big data technologies
Implement robust ETL and ELT workflows across diverse structured and unstructured data sources
Cloud Data Engineering
Work extensively with AWS services including EMR, Redshift, S3, Glue, Lambda, Kinesis, and related data tools
Build high-throughput, low-latency systems that support real-time or near-real-time decision making
Collaboration and Delivery
Partner with data scientists, analysts, and engineering teams to deliver reliable and well-documented datasets
Translate business requirements into technical specifications and scalable data solutions
Mentor team members and contribute to best practices and reusable frameworks within Solvd
Automation and Continuous Improvement
Streamline reporting, analytics, and data preparation processes
Replace manual workflows with automated, repeatable systems
Support ongoing performance tuning, monitoring, and platform optimization
Bachelor’s degree in Computer Science, Engineering, Mathematics, or similar
3 or more years of hands-on experience in data engineering or related fields
Strong proficiency in SQL and data modeling for analytics and warehousing
Experience building ETL or ELT pipelines at scale
Experience with big data technologies such as Hadoop, Hive, Spark, HBase, or EMR
Knowledge of distributed systems and data storage principles
Basic scripting skills in Python or Scala
Familiarity with machine learning concepts
Experience with AWS data services such as Redshift, S3, Glue, EMR, Kinesis, Firehose, and Lambda
Experience working with non-relational data stores such as document, key-value, column-family, or graph databases
Experience collaborating with cross-functional risk, compliance, or analytics teams
Strong understanding of data governance, quality, and security best practices
When you join Solvd, you'll…
Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
Be part of a global team with equal opportunities for collaboration across continents and cultures.
Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Ready to make an impact?
If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
Solvd is an equal opportunity employer.
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Colombia
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