Data SQL Engineer Job at E80 Group (REGGIO EMILIA)

Senior AWS Data Engineer / Data Platform Engineer

We are seeking a highly experienced Senior AWS Data Engineer to design, build, a...

Location

United Arab Emirates , Dubai

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

8+ years of experience in data engineering and data platform development
Strong hands-on experience with: AWS Glue
Amazon EMR (Spark)
AWS Lambda
Apache Airflow (MWAA)
Amazon EC2
Amazon CloudWatch
Amazon Redshift
Amazon DynamoDB
AWS DataZone

Job Responsibility

Design, develop, and optimize scalable data pipelines using AWS native services
Lead the implementation of batch and near-real-time data processing solutions
Architect and manage data ingestion, transformation, and storage layers
Build and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMR
Orchestrate complex data workflows using Apache Airflow (MWAA)
Develop and manage serverless data processing using AWS Lambda
Design and optimize data warehouses using Amazon Redshift
Implement and manage NoSQL data models using Amazon DynamoDB
Utilize AWS DataZone for data governance, cataloging, and access management
Monitor, log, and troubleshoot data pipelines using Amazon CloudWatch

Fulltime

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...

Location

India , Chennai, Madurai, Coimbatore

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

Strong hands-on expertise in cloud ecosystems (Azure / AWS / GCP)
Excellent Python programming skills with data engineering libraries and frameworks
Advanced SQL capabilities including window functions, CTEs, and performance tuning
Solid understanding of distributed processing using Spark/PySpark
Experience designing and implementing scalable ETL/ELT workflows
Good understanding of data modeling concepts (dimensional, star, snowflake)
Familiarity with GenAI/LLM-based integration for data workflows
Experience working with Git, CI/CD, and Agile delivery frameworks
Strong communication skills for interacting with clients, stakeholders, and internal teams

Job Responsibility

Design, build, and maintain scalable ETL/ELT pipelines across cloud and big data platforms
Contribute to architectural discussions by translating business needs into data solutions spanning ingestion, transformation, and consumption layers
Work closely with solutioning and pre-sales teams for technical evaluations and client-facing discussions
Lead squads of L0/L1 engineers—ensuring delivery quality, mentoring, and guiding career growth
Develop cloud-native data engineering solutions using Python, SQL, PySpark, and modern data frameworks
Ensure data reliability, performance, and maintainability across the pipeline lifecycle—from development to deployment
Support long-term ODC/T&M projects by demonstrating expertise during technical discussions and interviews
Integrate emerging GenAI tools where applicable to enhance data enrichment, automation, and transformations

What we offer

Opportunity to work at the intersection of Data Engineering, Cloud, and Generative AI
Hands-on exposure to modern data stacks and emerging AI technologies
Collaboration with experts across Data, AI/ML, and cloud practices
Access to structured learning, certifications, and leadership mentoring
Competitive compensation with fast-track career growth and visibility

Fulltime

Software Engineer, Data Engineering

Join us in building the future of finance. Our mission is to democratize finance...

Location

Canada , Toronto

Salary:

124000.00 - 145000.00 CAD / Year

Robinhood

Expiration Date

Until further notice

Requirements

3+ years of professional experience building end-to-end data pipelines
Hands-on software engineering experience, with the ability to write production-level code in Python for user-facing applications, services, or systems (not just data scripting or automation)
Expert at building and maintaining large-scale data pipelines using open source frameworks (Spark, Flink, etc)
Strong SQL (Presto, Spark SQL, etc) skills
Experience solving problems across the data stack (Data Infrastructure, Analytics and Visualization platforms)
Expert collaborator with the ability to democratize data through actionable insights and solutions

Job Responsibility

Help define and build key datasets across all Robinhood product areas. Lead the evolution of these datasets as use cases grow
Build scalable data pipelines using Python, Spark and Airflow to move data from different applications into our data lake
Partner with upstream engineering teams to enhance data generation patterns
Partner with data consumers across Robinhood to understand consumption patterns and design intuitive data models
Ideate and contribute to shared data engineering tooling and standards
Define and promote data engineering best practices across the company

What we offer

bonus opportunities
equity
benefits

Fulltime

Senior Software Engineer, Data Engineering

Join us in building the future of finance. Our mission is to democratize finance...

Location

United States , Menlo Park

Salary:

146000.00 - 198000.00 USD / Year

Robinhood

Expiration Date

Until further notice

Requirements

5+ years of professional experience building end-to-end data pipelines
Hands-on software engineering experience, with the ability to write production-level code in Python for user-facing applications, services, or systems (not just data scripting or automation)
Expert at building and maintaining large-scale data pipelines using open source frameworks (Spark, Flink, etc)
Strong SQL (Presto, Spark SQL, etc) skills
Experience solving problems across the data stack (Data Infrastructure, Analytics and Visualization platforms)
Expert collaborator with the ability to democratize data through actionable insights and solutions

Job Responsibility

Help define and build key datasets across all Robinhood product areas. Lead the evolution of these datasets as use cases grow
Build scalable data pipelines using Python, Spark and Airflow to move data from different applications into our data lake
Partner with upstream engineering teams to enhance data generation patterns
Partner with data consumers across Robinhood to understand consumption patterns and design intuitive data models
Ideate and contribute to shared data engineering tooling and standards
Define and promote data engineering best practices across the company

What we offer

Market competitive and pay equity-focused compensation structure
100% paid health insurance for employees with 90% coverage for dependents
Annual lifestyle wallet for personal wellness, learning and development, and more
Lifetime maximum benefit for family forming and fertility benefits
Dedicated mental health support for employees and eligible dependents
Generous time away including company holidays, paid time off, sick time, parental leave, and more
Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits
Bonus opportunities
Equity

Fulltime

Data Engineering Support Engineer / Manager

Wissen Technology is hiring a seasoned Data Engineering Support Engineer / Manag...

Location

India , Mumbai; Pune

Salary:

Not provided

Wissen

Expiration Date

Until further notice

Requirements

Bachelor of Technology or master's degree in computer science, Engineering, or related field
8-12 years of work experience
Python, SQL
Familiarity with data engineering
Experience with AWS data and analytics services or similar cloud vendor services
Strong problem solving and communication skills
Ability to organise and prioritise work effectively

Job Responsibility

Incident and user management for data and analytics platform
Development and maintenance of Data Quality framework (including anomaly detection)
Implementation of Python & SQL hotfixes and working with data engineers on more complex issues
Diagnostic tools implementation and automation of operational processes
Work closely with data scientists, data engineers, and platform engineers in a highly commercial environment
Support research analysts and traders with issue resolution

Fulltime

Sr. Data Engineer I, Data Infrastructure

Khan Academy is partnering with SafeInsights to provide researchers access to st...

Location

United States , Mountain View

Salary:

137871.00 - 172339.00 USD / Year

Khan Academy

Expiration Date

Until further notice

Requirements

5+ years of experience in data engineering within a production environment
Experience with Google infrastructure services and data services particularly GCS & Big Query
Advanced knowledge of Python
Strong SQL skills
Demonstrated proficiency with Docker and Kubernetes
Experience with Airflow
Background in applied math, statistics, economics, or a related technical field
Motivated by the Khan Academy mission “to provide a free world-class education for anyone, anywhere"
Proven cross-cultural competency skills demonstrating self-awareness, awareness of other, and the ability to adopt inclusive perspectives, attitudes, and behaviors to drive inclusion and belonging throughout the organization.

Job Responsibility

Collaborate with our Data Insights Group to understand the desired end data product and the overall projects goals
Collaborate with our data architect and Data Infrastructure team to understand available data source and tooling
Propose tooling and processes that will work with extant Khan Academy systems to meet the projects goals
Build test and refine these tools and processes
Deliver the SafeInsights container and associated project deliverables
Provide documentation and training required to maintain and enhance the above

What we offer

Competitive salaries
Ample paid time off as needed
Remote-first culture
Generous parental leave
An exceptional team
The chance to put your talents towards a deeply meaningful mission
Opportunities to connect through affinity, ally, and social groups
401(k) + 4% matching
Comprehensive insurance, including medical, dental, vision, and life

Fulltime

Data Engineer, Enterprise Data, Analytics and Innovation

Are you passionate about building robust data infrastructure and enabling innova...

Location

United States

Salary:

110000.00 - 125000.00 USD / Year

Vaniam Group

Expiration Date

Until further notice

Requirements

5+ years of professional experience in data engineering, ETL, or related roles
Strong proficiency in Python and SQL for data engineering
Hands-on experience building and maintaining pipelines in a lakehouse or modern data platform
Practical understanding of Medallion architectures and layered data design
Familiarity with modern data stack tools, including: Spark or PySpark
Workflow orchestration (Airflow, dbt, or similar)
Testing and observability frameworks
Containers (Docker) and Git-based version control
Excellent communication skills, problem-solving mindset, and a collaborative approach

Job Responsibility

Design, build, and operate reliable ETL and ELT pipelines in Python and SQL
Manage ingestion into Bronze, standardization and quality in Silver, and curated serving in Gold layers of our Medallion architecture
Maintain ingestion from transactional MySQL systems into Vaniam Core to keep production data flows seamless
Implement observability, data quality checks, and lineage tracking to ensure trust in all downstream datasets
Develop schemas, tables, and views optimized for analytics, APIs, and product use cases
Apply and enforce best practices for security, privacy, compliance, and access control, ensuring data integrity across sensitive healthcare domains
Maintain clear and consistent documentation for datasets, pipelines, and operating procedures
Lead the integration of third-party datasets, client-provided sources, and new product-generated data into Vaniam Core
Partner with product and innovation teams to build repeatable processes for onboarding new data streams
Ensure harmonization, normalization, and governance across varied data types (scientific, engagement, operational)

What we offer

100% remote environment with opportunities for local meet-ups
Positive, diverse, and supportive culture
Passionate about serving clients focused on Cancer and Blood diseases
Investment in you with opportunities for professional growth and personal development through Vaniam Group University
Health benefits – medical, dental, vision
Generous parental leave benefit
Focused on your financial future with a 401(k) Plan and company match
Work-Life Balance and Flexibility
Flexible Time Off policy for rest and relaxation
Volunteer Time Off for community involvement

Fulltime

Senior Microsoft Stack Data Engineer

Hands-On Technical SENIOR Microsoft Stack Data Engineer / On Prem to Cloud Senio...

Location

United States , West Des Moines

Salary:

155000.00 USD / Year

Robert Half

Expiration Date

Until further notice

Requirements

5+ years of DATA WAREHOUSE EXPERIENCE / Data Lake experience
Advanced SQL Server
Strong SQL experience, working with structured and unstructured data
Strong in SSIS ETL
Proficiency in SQL and SQL Queries
Experience with SQL Server and SQL Server
Knowledge of Data Warehousing and Data Warehousing
Data Warehouse experience: Star Schema and Fact & Dimension data warehouse structure
Experience with Azure Data Lake and Data lakes
Proficiency in ETL / SSIS and SSAS

Job Responsibility

Modernize, Build out a Data Warehouse, and Lead & Build out a Data Lake in the CLOUD
REBUILD an OnPrem data warehouse working with disparate data to structure the data for consumable reporting
ALL ASPECTS OF Data Engineering
Technical Leader of the team

What we offer

Bonus
2 1/2 day weekends
Medical, vision, dental, and life and disability insurance
401(k) plan

Fulltime

Data SQL Engineer

E80 Group

Location:
Italy , REGGIO EMILIA

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 10, 2026

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