Senior Data Engineer (ETL+Spark) Job at ELEKS (Buenos Aires)

Senior Big Data Engineer

The Big Data Engineer is a senior level position responsible for establishing an...

Location

Canada , Mississauga

Salary:

94300.00 - 141500.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

5+ Years of Experience in Big Data Engineering (PySpark)
Data Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources
Big Data Infrastructure: Develop and manage large-scale data processing systems using frameworks like Apache Spark, Hadoop, and Kafka
Proficiency in programming languages like Python, or Scala
Strong expertise in data processing frameworks such as Apache Spark, Hadoop
Expertise in Data Lakehouse technologies (Apache Iceberg, Apache Hudi, Trino)
Experience with cloud data platforms like AWS (Glue, EMR, Redshift), Azure (Synapse), or GCP (BigQuery)
Expertise in SQL and database technologies (e.g., Oracle, PostgreSQL, etc.)
Experience with data orchestration tools like Apache Airflow or Prefect
Familiarity with containerization (Docker, Kubernetes) is a plus

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients and assets

Fulltime

Senior Data Engineer

Senior Data Engineer to design, develop, and optimize data platforms, pipelines,...

Location

United States , Chicago

Salary:

160555.00 - 176610.00 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Master's degree in Engineering Management, Software Engineering, Computer Science, or a related technical field
3 years of experience in data engineering
Experience building data platforms and pipelines
Experience with AWS, GCP or Azure
Experience with SQL and Python for data manipulation, transformation, and automation
Experience with Apache Airflow for workflow orchestration
Experience with data governance, data quality, data lineage and metadata management
Experience with real-time data ingestion tools including Pub/Sub, Kafka, or Spark
Experience with CI/CD pipelines for continuous deployment and delivery of data products
Experience maintaining technical records and system designs

Job Responsibility

Design, develop, and optimize data platforms, pipelines, and governance frameworks
Enhance business intelligence, analytics, and AI capabilities
Ensure accurate data flows and push data-driven decision-making across teams
Write product-grade performant code for data extraction, transformations, and loading (ETL) using SQL/Python
Manage workflows and scheduling using Apache Airflow and build custom operators for data ETL
Build, deploy and maintain both inbound and outbound data pipelines to integrate diverse data sources
Develop and manage CI/CD pipelines to support continuous deployment of data products
Utilize Google Cloud Platform (GCP) tools, including BigQuery, Composer, GCS, DataStream, and Dataflow, for building scalable data systems
Implement real-time data ingestion solutions using GCP Pub/Sub, Kafka, or Spark
Develop and expose REST APIs for sharing data across teams

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Annual incentive program

Fulltime

Senior Data Engineer

We’re hiring a Senior Data Engineer with strong experience in AWS and Databricks...

Location

India , Hyderabad

Salary:

Not provided

Appen

Expiration Date

Until further notice

Requirements

5-7 years of hands-on experience with AWS data engineering technologies, such as Amazon Redshift, AWS Glue, AWS Data Pipeline, Amazon Kinesis, Amazon RDS, and Apache Airflow
Hands-on experience working with Databricks, including Delta Lake, Apache Spark (Python or Scala), and Unity Catalog
Demonstrated proficiency in SQL and NoSQL databases, ETL tools, and data pipeline workflows
Experience with Python, and/or Java
Deep understanding of data structures, data modeling, and software architecture
Strong problem-solving skills and attention to detail
Self-motivated and able to work independently, with excellent organizational and multitasking skills
Exceptional communication skills, with the ability to explain complex data concepts to non-technical stakeholders
Bachelor's Degree in Computer Science, Information Systems, or a related field. A Master's Degree is preferred.

Job Responsibility

Design, build, and manage large-scale data infrastructures using a variety of AWS technologies such as Amazon Redshift, AWS Glue, Amazon Athena, AWS Data Pipeline, Amazon Kinesis, Amazon EMR, and Amazon RDS
Design, develop, and maintain scalable data pipelines and architectures on Databricks using tools such as Delta Lake, Unity Catalog, and Apache Spark (Python or Scala), or similar technologies
Integrate Databricks with cloud platforms like AWS to ensure smooth and secure data flow across systems
Build and automate CI/CD pipelines for deploying, testing, and monitoring Databricks workflows and data jobs
Continuously optimize data workflows for performance, reliability, and security, applying Databricks best practices around data governance and quality
Ensure the performance, availability, and security of datasets across the organization, utilizing AWS’s robust suite of tools for data management
Collaborate with data scientists, software engineers, product managers, and other key stakeholders to develop data-driven solutions and models
Translate complex functional and technical requirements into detailed design proposals and implement them
Mentor junior and mid-level data engineers, fostering a culture of continuous learning and improvement within the team
Identify, troubleshoot, and resolve complex data-related issues

Fulltime

Senior Data Engineer - Catalog

Join the Catalog team and be part of Deezer’s next steps. We ingest, reconcile a...

Location

France , Paris

Salary:

Not provided

Deezer

Expiration Date

Until further notice

Requirements

5+ years of experience in Data Engineering
Familiarity with data quality frameworks and best practices
Solid experience with Python, SQL, BigQuery, Spark/Scala, ETL
Experience with entity matching, data reconciliation or data science applied to quality problems is a strong plus
Proactive, organised and with strong team spirit
Passion for music and improving user experience through better metadata
Fluent in English

Job Responsibility

Design and maintain ETL pipelines to ingest and process large volumes of catalog data from disparate sources
Ingest and match entities like artists, albums, concerts and lyrics
Develop solutions to improve metadata quality at scale
Contribute to projects like: Artist disambiguation and source-of-truth building
Album grouping via ML models in collaboration with Data scientists
Build analytics and quality KPIs to monitor catalog performance
Collaborate closely with Data Scientists, Researchers, Product Managers and partners to implement new solutions

What we offer

A Deezer premium family account for free
Access to gym classes
Join over 70 Deezer Communities
Deezer parties several times a year and drinks every thursday
Allowance for sports, travelling and culture
Meal vouchers
Mental health and well-being support from Moka.Care
Great offices
Hybrid remote work policy

Fulltime

Senior Data Engineering Architect

Location

Poland

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

Proven work experience as a Data Engineering Architect or a similar role and strong experience in in the Data & Analytics area
Strong understanding of data engineering concepts, including data modeling, ETL processes, data pipelines, and data governance
Expertise in designing and implementing scalable and efficient data processing frameworks
In-depth knowledge of various data technologies and tools, such as relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks (e.g., Hadoop, Spark)
Experience in selecting and integrating appropriate technologies to meet business requirements and long-term data strategy
Ability to work closely with stakeholders to understand business needs and translate them into data engineering solutions
Strong analytical and problem-solving skills, with the ability to identify and address complex data engineering challenges
Proficiency in Python, PySpark, SQL
Familiarity with cloud platforms and services, such as AWS, GCP, or Azure, and experience in designing and implementing data solutions in a cloud environment
Knowledge of data governance principles and best practices, including data privacy and security regulations

Job Responsibility

Collaborate with stakeholders to understand business requirements and translate them into data engineering solutions
Design and oversee the overall data architecture and infrastructure, ensuring scalability, performance, security, maintainability, and adherence to industry best practices
Define data models and data schemas to meet business needs, considering factors such as data volume, velocity, variety, and veracity
Select and integrate appropriate data technologies and tools, such as databases, data lakes, data warehouses, and big data frameworks, to support data processing and analysis
Create scalable and efficient data processing frameworks, including ETL (Extract, Transform, Load) processes, data pipelines, and data integration solutions
Ensure that data engineering solutions align with the organization's long-term data strategy and goals
Evaluate and recommend data governance strategies and practices, including data privacy, security, and compliance measures
Collaborate with data scientists, analysts, and other stakeholders to define data requirements and enable effective data analysis and reporting
Provide technical guidance and expertise to data engineering teams, promoting best practices and ensuring high-quality deliverables. Support to team throughout the implementation process, answering questions and addressing issues as they arise
Oversee the implementation of the solution, ensuring that it is implemented according to the design documents and technical specifications

What we offer

Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites
Workation. Enjoy working from inspiring locations in line with our workation policy
Great Place to Work® certified employer
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs. Lingarians earn 500+ technology certificates yearly
Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly
Grow as we grow as a company. 76% of our managers are internal promotions

Senior Big Data Engineer

Location

United States , Flowood

Salary:

Not provided

PhasorSoft Group

Expiration Date

Until further notice

Requirements

Proficiency in Python programming for data manipulation and analysis
Experience with PySpark for processing large-scale data
Strong understanding and practical experience with big data technologies such as Hadoop, Spark, Kafka, etc.
Knowledge of designing and implementing ETL processes for data integration
Ability to work with large datasets, perform data cleansing, transformations, and aggregations
Familiarity with machine learning concepts and experience implementing ML models
Understanding of data governance principles and experience implementing data security measures
Ability to create clear and concise documentation for data pipelines and processes
Strong teamwork and collaboration skills to work with cross-functional teams
Analytical and problem-solving skills to optimize data workflows and processes

Job Responsibility

Design and develop scalable data pipelines and solutions using Python and PySpark
Utilize big data technologies such as Hadoop, Spark, Kafka, or similar tools for processing and analyzing large datasets
Develop and maintain ETL processes to extract, transform, and load data into data lakes or warehouses
Collaborate with data engineers and scientists to implement machine learning models and algorithms
Optimize and tune data processing workflows for performance and efficiency
Implement data governance and security measures to ensure data integrity and privacy
Create and maintain documentation for data pipelines, workflows, and processes
Provide technical leadership and mentorship to junior team members

Fulltime

Senior Software Engineer - Data Infrastructure

We build the data and machine learning infrastructure to enable Plaid engineers ...

Location

United States , San Francisco

Salary:

180000.00 - 270000.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

5+ years of software engineering experience
Extensive hands-on software engineering experience, with a strong track record of delivering successful projects within the Data Infrastructure or Platform domain at similar or larger companies
Deep understanding of one of: ML Infrastructure systems, including Feature Stores, Training Infrastructure, Serving Infrastructure, and Model Monitoring OR Data Infrastructure systems, including Data Warehouses, Data Lakehouses, Apache Spark, Streaming Infrastructure, Workflow Orchestration
Strong cross-functional collaboration, communication, and project management skills, with proven ability to coordinate effectively
Proficiency in coding, testing, and system design, ensuring reliable and scalable solutions
Demonstrated leadership abilities, including experience mentoring and guiding junior engineers

Job Responsibility

Contribute towards the long-term technical roadmap for data-driven and machine learning iteration at Plaid
Leading key data infrastructure projects such as improving ML development golden paths, implementing offline streaming solutions for data freshness, building net new ETL pipeline infrastructure, and evolving data warehouse or data lakehouse capabilities
Working with stakeholders in other teams and functions to define technical roadmaps for key backend systems and abstractions across Plaid
Debugging, troubleshooting, and reducing operational burden for our Data Platform
Growing the team via mentorship and leadership, reviewing technical documents and code changes

What we offer

medical, dental, vision, and 401(k)
equity and/or commission

Fulltime

Senior Data Engineer

Radix is building the most trusted data and analytics platform in multifamily. J...

Location

United States , Scottsdale

Salary:

Not provided

Radix (AZ)

Expiration Date

Until further notice

Requirements

5+ years of experience in data engineering or backend systems, with 2+ years collaborating closely with analytical or scientific practitioners
Experience designing at least one end-to-end data application (visualization, model pipeline, etc.) for production use
Strong understanding of data modeling, batch processing, and streaming systems
Hands-on experience with SQL/NoSQL databases, cloud storage, file-based datasets, and Infrastructure-as-code
Experience building or operating data pipelines on AWS cloud services (Lambda, S3, RDS, ECS)
Understanding of AI/LLM integration and prompt engineering fundamentals
Proficiency with Git/GitHub, and familiarity with Spark and Kubernetes
Strong problem-solving skills, ownership, and ability to identify root causes of technical debt and recurring problems
Demonstrated ability to translate Product/Science requirements into technical plans and hold teams accountable to delivery timelines
Undergraduate degree in computer science, computer engineering, software engineering, or equivalent

Job Responsibility

Build scalable ETL/ELT pipelines for ingesting structured and unstructured data (Excel, JSON, PDFs, APIs)
Design and maintain data pipelines using SQL, Python, Node.js, or TypeScript
Work with distributed compute systems (Spark, Kubernetes), message queues, and streaming data
Manage and optimize data storage in MongoDB, PostgreSQL, Redis, Snowflake, and S3
Develop clean, standardized data schemas and event-driven transformations
Integrate AI-assisted parsers, mappers, and LLM-supported transformations
Collaborate with backend, analytics, product, and AI teams to break down requirements into well-defined engineering problems
Implement monitoring, data validation, and reliability checks (DQ rules, freshness, duplication)
Own production readiness, including on-call responsibilities and incident follow-ups
Mentor engineers, conduct thorough code reviews, and introduce patterns that raise the team's technical bar

What we offer

Medical, dental and vision coverage designed to support your wellbeing
Pre-IPO Equity
Performance Bonus
Learn From the Best
Build Category-Defining Products

Senior Data Engineer (ETL+Spark)

ELEKS

Location:
Argentina , Buenos Aires

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 18, 2026

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