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Data Engineer

Colombia · Ukraine · Poland · Brazil · Argentina · Georgia · Colombia

Open 5 months, first seen by us 155 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
Future Opportunities - Data — team source
Department: Future Opportunities - Data
From the employer’s posting

What you’ll work on

Full 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

From the employer’s posting
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

What you’ll bring

All qualifications

Core experience

  • 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

Preferred experience

  • 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
Qualification wording
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
Education & alternatives
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
Apply at Solvd

Posting record

Report an error

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.

Status in our records
Live
First seen by us
Jun 2, 2026155 days ago
Recorded sightings
110
Last seen by us
Nov 4, 2026
Employer says posted
Dec 1, 2025

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 155

Up longer than most. Similar jobs usually come down between day 6 and day 54.

From 10,805 similar postings that came down. Coming down is not always a hire.

Solvd is hiring

8 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Takes jobs down at a usual pace
Hiring record

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
  • Scala
  • SQL
  • AWS
  • Hadoop
  • Hive
  • Redshift
  • S3
  • Spark
Where the posting names them
- 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

Your next step

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Has Solvd posted this job before?

Yes. We’ve followed one other Data Engineer job there since September 2026. It came down after 11 days.

  1. This jobUp 155 days so far, first seen Jun 2
  2. Place not statedCame down after 11 days, first seen Sep 25

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

View original posting ↗

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.

What you will do

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

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

  • 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

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 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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