Data Integration Lead

Valce Talent Solutions United States

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Posted 16 Oct 2026

Last seen 16 Oct 2026

Location United States

Lifecycle fresh

Grade D

Why this grade This listing scored 54/100, 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.
Freshness 15 / 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.
Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
Corroboration 5 / 10 Whether more than one source carries this listing.
Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.

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 – $170k

That is the middle half of what comparable roles paid on this board over the last 90 days — 49 listings that did publish a figure, median $146k. 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 this role involves →

Description review

60/100 HR standards 78/100 Title ↔ description not measured Fit to the official role

Read the marked-up listing →

Data Science Developer Senior Full Time

Data Integration Lead

Remote

Advanced english

Only México

Summary Experienced Datastage Developer (Production Support & Enhancements) — responsible for resolving production defects, delivering enhancements, and interfacing with clients. Must be strong in IBM DataStage, Oracle, UNIX, Control-M scheduling, and analytical problem solving. Snowflake experience is a plus. Required technical skills - IBM InfoSphere DataStage (developer & admin familiarity) — job design, parallel jobs, parameterization, shared containers, etc. - Strong Oracle SQL and PL/SQL skills — query tuning, indexes, partitioning awareness. - Solid UNIX/Linux skills — shell scripting, job logs, file handling and basic process troubleshooting. - Production scheduling with Control M (or similar) — job definitions, dependencies, calendars, alerts. - Proven experience diagnosing and resolving production ETL issues under SLA pressure. - Strong analytical and problem-solving skills; able to trace data flow and isolate defects across systems. - Experience with version control, CICD/release processes and deployment across environments. - Good written and verbal communication; comfortable in client-facing situations. Key responsibilities - Own and resolve DataStage production incidents and bugs end-to-end, including root-cause analysis, fixes, regression testing, and deployment to production. - Implement and test enhancement requests and change requests (CRs) in the DataStage environment following SDLC and release processes. - Design, develop, and optimize DataStage jobs and parallel jobs for batch and real-time data integration scenarios. - Perform performance tuning of DataStage jobs, database SQL (Oracle), and UNIX processes to meet SLAs. - Monitor, troubleshoot, and maintain production ETL pipelines; respond to alerts and follow incident management procedures. - Work with Control M (or equivalent schedulers) to design, monitor and maintain job schedules and dependencies; troubleshoot scheduling failures.

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16 Oct 2026 Himalayas first sighting

Seen on 1 board over 0 days.