Citi Trends
Big Data PySpark Lead Engineer - Vice President
JERSEY CITY, New Jersey, United States of America · Exec · Full-time
Sponsorship not specified$142k-$213kDetected 1 day ago
ScalaBashDistributed SystemsSQLKafkaSparkData AnalysisData EngineeringProject ManagementLeadershipCommunicationProblem SolvingHadoop
> stay_score
odds of building a lasting career here
47Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role35
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- Automate pipeline scheduling and orchestration using shell scripting and Autosys, reducing manual intervention and improving operational reliability.
- Solid understanding of distributed systems architecture and how data flows across interconnected processing layers.
Requirements
- Practical knowledge of the Hadoop ecosystem, including Hive, HDFS, Sqoop, Spark, Impala, and Scala, applied in a production environment.
Compensation
- $142,320.00 - $213,480.00 In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards.
Benefits
- Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs.
- Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays.
- For additional information regarding Citi employee benefits, please visit citibenefits.com.
Equal opportunity
- View Citi's EEO Policy Statement and the Know Your Rights poster.
- If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
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This listing is sourced directly from Citi Trends's careers page and normalized into a canonical job model.