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Data Engineer III

Pay
Pay not listed
Work setting
Remote — work setting source
Listed location: Remote - Spain
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Employment
Not stated

What you’ll work on

Full posting
  • Develop high-volume data processing jobs on Redshift, Athena, Iceberg, Spark and Airflow

  • Turn data science theory and methodology into viable products

  • Find bottlenecks in system performance and recommend efficiency improvements

  • Support data scientists, analysts, and product managers

  • Mentor junior team members on architecture, best practices, and ways of working

From the employer’s posting
Develop high volume data processing jobs across various platforms including Redshift, Athena, Iceberg, Spark and Airflow
Work closely with Data Scientists to turn theory and methodology into viable products
Identify bottlenecks in system performance and make recommendations on improving process efficiency
Support and collaborate with data scientists, analysts, and product managers
You are enthusiastic about mentoring and guiding junior team members, helping them understand architectural principles, best practices, and effective ways of working.

What you’ll bring

All qualifications

Core experience

  • Strong, data-focused programming background
  • Passion for accuracy and performance
Qualification wording
Applicants should have a strong, data-focused programming background
be passionate about accuracy and performance
Education & alternatives
We are looking for the right person, not the exact list of requirements. If you believe your life experience has prepared you for similar challenges, we’d like to hear from you. - Bachelor's degree in Computer Science or related field or equivalent experience - Strong understanding of programming concepts with experience in at least 1 OOP language (Python, Scala, Java)

About Ziff Davis

We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue.

In the employer’s words · Read in context

Apply at Ziff Davis

Posting record

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Status in our records
Live
First seen by us
Oct 8, 202628 days ago
Recorded sightings
52
Last seen by us
Nov 5, 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

Time since we first saw it

Day 28

Similar jobs usually come down between day 6 and day 54.

From 11,028 similar postings that came down. Coming down is not always a hire.

Ziff Davis is hiring

10 open jobs

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

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.

  • Java
  • Python
  • Scala
  • SQL
  • AWS
  • Iceberg
  • MySQL
  • Redshift
  • Spark
  • Trino
  • Airflow
Where the posting names them
- Bachelor's degree in Computer Science or related field or equivalent experience - Strong understanding of programming concepts with experience in at least 1 OOP language (Python, Scala, Java) - Strong background and 6+ years of direct experience working with Python
- Strong understanding of programming concepts with experience in at least 1 OOP language (Python, Scala, Java) - Strong background and 6+ years of direct experience working with Python - Experience with high volume distributed data processing in Spark
- Experience with high volume distributed data processing in Spark - Strong working knowledge of SQL, databases (MySQL / Redshift / Athena / Trino), data modeling, and modern data warehouse (lakehouse) management - Excellent troubleshooting and analysis skills
- Strong time management skills and a self driven work ethic - Experience with AWS cloud services is a plus - Experience with event driven architecture and streaming data pipelines is a plus
Key Responsibilities: - Develop high volume data processing jobs across various platforms including Redshift, Athena, Iceberg, Spark and Airflow - Work closely with Data Scientists to turn theory and methodology into viable products
- Strong background and 6+ years of direct experience working with Python - Experience with high volume distributed data processing in Spark - Strong working knowledge of SQL, databases (MySQL / Redshift / Athena / Trino), data modeling, and modern data warehouse (lakehouse) management

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About Ziff Davis

People
About 3,900 in 2025, up 3% from the year before.Annual report (SEC Form 10-K)
Company
Listed as ZD.

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

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 ↗

The Opportunity:

We’re looking for a Senior Data Engineer to join the Ookla Data Engineering team and help us process the world’s best collection of data on mobile and fixed internet performance. As a data engineer you will be focused on developing tools, libraries and operations to support data scientists and analysts as they discover new and exciting ways to apply our data. Applicants should have a strong, data-focused programming background and be passionate about accuracy and performance. You will work on big data using the latest technologies.

 

We are committed to providing you a flexible work environment where individuality, fun, and talent are all valued equally. If you consider yourself innovative, adept at collaboration, and you care deeply about the work you do, we want to talk!

 

Key Responsibilities:

 

  •  Develop high volume data processing jobs across various platforms including Redshift, Athena, Iceberg, Spark and Airflow

  •  Work closely with Data Scientists to turn theory and methodology into viable products

  •  Identify bottlenecks in system performance and make recommendations on improving process efficiency

  •  Support and collaborate with data scientists, analysts, and product managers

  • You are enthusiastic about mentoring and guiding junior team members, helping them understand architectural principles, best practices, and effective ways of working.

 

 

Job Qualifications:

 

We are looking for the right person, not the exact list of requirements. If you believe your life experience has prepared you for similar challenges, we’d like to hear from you.

 

  •  Bachelor's degree in Computer Science or related field or equivalent experience

  •  Strong understanding of programming concepts with experience in at least 1 OOP language (Python, Scala, Java)

  • Strong background and 6+ years of direct experience working with Python

  •  Experience with high volume distributed data processing in Spark

  •  Strong working knowledge of SQL, databases (MySQL / Redshift / Athena / Trino), data modeling, and modern data warehouse (lakehouse) management

  •  Excellent troubleshooting and analysis skills

  •  Excited to learn and work with new technologies in a dynamic environment

  •  Strong communication skills both in person and via virtual mediums

  •  Strong time management skills and a self driven work ethic

  •  Experience with AWS cloud services is a plus

  •  Experience with event driven architecture and streaming data pipelines is a plus

  •  Background check required

 

About 

Ookla, an Accenture company, is a global leader in connectivity intelligence that brings together the trusted expertise of Speedtest®, Downdetector®, Ekahau®, and RootMetrics® to deliver unmatched network and connectivity insights. By combining multi-source data with industry-leading expertise, we transform network performance metrics into strategic, actionable insights.

 

Our solutions empower service providers, enterprises, and governments with the critical data and insights needed to optimize networks, enhance digital experiences, and help close the digital divide. At the same time, we amplify the real-world experiences of individuals and businesses that rely on connectivity to work, learn, and communicate. From measuring and analyzing connectivity to driving industry innovation, Ookla helps the world stay connected.

 

 

About Accenture

Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 799,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com.

 

Compensation Range 

Ookla provides a range for the base pay. Factors that may be used to determine your actual pay may include your specific job related knowledge, skills, experience, and geographic location. The salary compensation for this role is €x - €x. Individual pay within the compensation range for this business unit specific role is determined based on a variety of factors including experience, scope of the role, capabilities to perform the role, education and training, as well as business and company performance.

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Remote - Spain

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