Data Pipeline QA Tester — Financial Data

Please login or register as jobseeker to apply for this job.

TYPE OF WORK

Full Time

SALARY

800-1100

HOURS PER WEEK

40

DATE UPDATED

Apr 18, 2026

JOB OVERVIEW

We are building a financial data pipeline. All code is written by the development lead. Your job is to run scripts, test outputs, and report results. You do not write or edit code.
You will run Python scripts from the command line, run SQL validation queries against databases, and report exactly what happened — full outputs, full error messages, row counts, and anything unusual. If something breaks, you describe the problem. You do not fix it. The development lead fixes it. You run the fix and confirm it works.
This role requires extreme attention to detail, comfort with repetitive process-driven work, and clear written communication. You must be comfortable working independently with minimal supervision and validating data without knowing what it is used for.
Long-term full-time position. Build phase is 6-12 months, then transitions to daily monitoring. Paid via Wise monthly.
Start your application with the word VALIDATED. Include your SQL and Python experience, an example of a time you caught a data error others missed, and your salary expectation.
Honesty about mistakes. If you a ---------- ran the wrong file, skipped a step, or aren't sure if you did something correctly — say so immediately. We fix mistakes fast. We cannot fix hidden mistakes.

VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0011
Controller Execution Time ( Jobseekers / Job )  0.0144
Total Execution Time  0.0163
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,481,312 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/Data-Pipeline-QA-Tester-Financial-Data-1626919
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0084 seconds)  (Hide)
0.0003   SELECT *
                                FROM exrates
                                WHERE rate_name = 'USD-PHP' 
0.0003   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1626919
 LIMIT 1 
0.0003   SELECT *
FROM `employers`
WHERE `employer_id` = 330813
 LIMIT 1 
0.0004   SELECT COUNT(*) AS `numrows`
FROM `t_thread` `t`
LEFT JOIN `t_thread_misc` `misc` ON `t`.`id` = `misc`.`thread_id`
WHERE `t`.`job_id` = 1626919
AND `misc`.`id` IS NULL 
0.0004   SELECT e.business_name, e.logo, e.website, e.rebill_date, e.date_added member_date, hits, DATEDIFF('2026-04-19',ej.date_added) duration_days, DATEDIFF('2026-04-19',e.rebill_date) duration_rebill, ej.*, e.deactivate FROM employers e, employer_jobs ej WHERE e.employer_id = ej.employer_id AND
                                   ((e.user_level >= '500' AND ej.date_added <= e.rebill_date)
                                   OR e.employer_id = '' OR (ej.date_approved <> '2000-01-01' and DATEDIFF('2026-04-19',ej.date_added) <= 14 ))
                                   AND e.deactivate != 1 AND ej.deleted = 0 AND job_id = '1626919' 
0.0003   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `sc` ON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1626919 
0.0007   UPDATE employer_jobs SET hit_counts = '***Apr-18-2026=17***Apr-19-2026=1' WHERE job_id= '1626919'  
0.0006   UPDATE employer_jobs SET monthly_hits = '***Apr-2026=18' WHERE job_id= '1626919'  
0.0003   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id = '' AND job_id = '1626919' AND status LIKE 'sent%' ORDER BY id DESC  
0.0002   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `sc` ON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1626919 
0.0028   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '330813'
AND `date_added` >= '2022-06-08' 
0.0003   select * from teasers 
0.0015   SELECT * FROM skill_categories WHERE skill_cat_id='' 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)