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Senior Data Engineer (R13923)

3 weeks, 1 day ago
Mexico
Full-time
Senior
Data Engineer
Software Development
Agile Apache Airflow Apache Spark AWS Azure Databricks GCP Hadoop Java Jenkins Kafka Kanban MariaDB PostgreSQL Python Scala Scrum SQL
Apply Now
Oportun

Oportun

Oportun is a financial services company that provides loans with convenient and fixed payments to help customers establish credit history and build a better future. With over 900,000 customers served and $3,300 million in loans granted, Oportun operate...

Banks
1K-5K
Founded 2005
$566M raised
View All Jobs 3

Description

  • Lead the design and implementation of scalable, efficient, and robust data architectures.
  • Design and develop data pipelines, ETL processes, and data integration solutions for large structured and unstructured data sets.
  • Optimize data pipelines for performance, reliability, and scalability.
  • Oversee the management and maintenance of databases, data warehouses, and data lakes.
  • Establish and enforce data quality standards, validation rules, and data governance practices.
  • Drive improvements in data quality and documentation of data assets.
  • Provide technical leadership and mentorship to junior engineers.
  • Lead and participate in code reviews to ensure best practices and high-quality code.
  • Collaborate with data scientists, analysts, product managers, designers, and business stakeholders to translate needs into solutions.
  • Own troubleshooting, root cause analysis, and escalation or resolution of customer and system issues.

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • 5+ years of experience in data engineering with a focus on data architecture, ETL, and database management.
  • Proficiency in Python/PySpark and Java or Scala.
  • Experience with big data technologies such as Hadoop, Spark, and Kafka.
  • Strong SQL knowledge and experience with PostgreSQL, MariaDB, or NoSQL databases.
  • Experience building complex end-to-end data pipelines.
  • Experience with orchestration and job scheduling tools such as Jenkins, Airflow, or Databricks.
  • Experience working in an Agile environment such as Scrum, Lean, or Kanban.
  • Familiarity with cloud platforms such as AWS, Azure, or GCP and their data services.
  • Strong leadership, problem-solving, decision-making, communication, and collaboration skills.
  • Ability to mentor junior team members.
  • Familiarity with or certification in Databricks is a plus.

Benefits

  • Remote work indicated by #LI-REMOTE.
  • Equal Opportunity Employer consideration for all qualified applicants.
  • No pre-employment fees for background checks, training, or equipment.
  • Protection from requests for sensitive personal or financial information before hire.

Interested in this position?

Apply directly on the company website

Apply Now

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