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Why this grade This listing scored 43/100, which is a D. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Freshness 8 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
-10 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
This listing does not state a salary
$126k – $163k
That is the middle half of what comparable roles paid on this board over the last 90 days — 39 listings that did publish a figure, median $140k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.
What we are looking for
- Experience with AWS services including but not limited to S3, Athena, EC2, EMR, and Glue.
- Ability to solve any ongoing issues with operating the cluster.
- Experience with the integration of data from multiple data sources.
- Experience with various database technologies such as SQLServer, Redshift, Postgres, and RDS.
- Experience with one or more of the following data integration platforms: Pentaho Kettle, SnapLogic, Talend OpenStudio, Jitterbit, Informatica PowerCenter, or similar.
- Knowledge of best practices and IT operations in an always-up, always-available service.
- Experience with or knowledge of Agile Software Development methodologies.
- Excellent problem-solving and troubleshooting skills.
- Excellent oral and written communication skills with a keen sense of customer service.
- Experience with collecting/managing/reporting on large data stores.
- Awareness of Data governance and data quality principles.
- Well-versed in Business Analytics including basic metric building and troubleshooting.
- Understand Integration architecture: application integration and data flow diagrams, source-to-target mappings, data dictionary reports.
- Familiar with Web Services: XML, REST, SOAP.
- Experience with Git or similar version control software.
- Experience with integrations with and/or use of BI tools such as GoodData (preferred), Tableau, PowerBI, or similar.
- Broad experience with multiple RDBMS: MS SQLServer, Oracle, MySQL, PostgreSQL, Redshift.
- Familiarity with SaaS/cloud data systems (e.g. Salesforce).
- Data warehouse design: star-schemas, change data capture, denormalization.
- SQL/DDL queries/Tuning techniques such as indexing, sorting, and distribution.
- BS or MS degree in Computer Science or a related technical field.
- 3+ years of Data Pipeline development such as SnapLogic or Datastage, Informatica, or related experience.
- 3+ years of SQL experience (No-SQL experience is a plus).
- Experience designing, building, and maintaining data pipelines.
What you'll be doing
- Develop and maintain data models for core package application and reporting databases to describe objects and fields for support documentation and to facilitate custom application development and data integration.
- Monitoring execution and performance of daily pipelines, triage and escalate any issues.
- Collaborates with analytics and business teams to improve data models and data pipelines that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization.
- Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes.
- Writes unit/integration tests, contributes to engineering wiki, and documents work.
- Performs data analysis required to troubleshoot data-related issues and assist in the resolution of data issues.
- Work within AWS/Linux cloud systems environment in support of data integration solution
- Works closely with a team of frontend and backend engineers, product managers, and analysts.
- Teamwork: Collaborate with team members. Share knowledge, provide visibility of interpersonal accomplishments and follow directions when provided.
Company Benefits
- Competitive salary and bonuses, including performance-based salary increases.
- Generous paid-time-off policy
- Flexible working hours
- Work remotely
- Continuing education, training, conferences
- Company-sponsored coursework, exams, and certifications
Originally posted on Himalayas
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Where this listing came from
- 03 Sep 2026 Himalayas first sighting
Seen on 1 board over 0 days.