Data Analytics Engineer Job at Robert Half (Sarasota)

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

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

Data Analytics Engineer

SDG Group is expanding its global Data & Analytics practice and is seeking a mot...

Location

Egypt , Cairo

Salary:

Not provided

SDG

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, Information Systems, or related field
Hands-on experience in DataOps / Data Engineering
Strong knowledge in Databricks OR Snowflake (one of them is mandatory)
Proficiency in Python and SQL
Experience with Azure data ecosystem (ADF, ADLS, Synapse, etc.)
Understanding of CI/CD practices and DevOps for data.
Knowledge of data modeling, orchestration frameworks, and monitoring tools
Strong analytical and troubleshooting skills
Eagerness to learn and grow in a global consulting environment

Job Responsibility

Design, build, and maintain scalable and reliable data pipelines following DataOps best practices
Work with modern cloud data stacks using Databricks (Spark, Delta Lake) or Snowflake (Snow pipe, tasks, streams)
Develop and optimize ETL/ELT workflows using Python, SQL, and orchestration tools
Work with Azure data services (ADF, ADLS, Azure SQL, Azure Functions)
Implement CI/CD practices using Azure DevOps or Git-based workflows
Ensure data quality, consistency, and governance across all delivered data solutions
Monitor and troubleshoot pipelines for performance and operational excellence
Collaborate with international teams, architects, and analytics consultants
Contribute to technical documentation and solution design assets

What we offer

Remote working model aligned with international project needs
Opportunity to work on European and global engagements
Mentorship and growth paths within SDG Group
A dynamic, innovative, and collaborative environment
Access to world-class training and learning platforms

Fulltime

Data Engineering & Analytics Lead

Premium Health is seeking a highly skilled, hands-on Data Engineering & Analytic...

Location

United States , Brooklyn

Salary:

Not provided

Premium Health

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred
Proven track record and progressively responsible experience in data engineering, data architecture, or related technical roles
healthcare experience preferred
Strong knowledge of data engineering principles, data integration, ETL processes, and semantic mapping techniques and best practices
Experience implementing data quality management processes, data governance frameworks, cataloging, and master data management concepts
Familiarity with healthcare data standards (e.g., HL7, FHIR, etc), health information management principles, and regulatory requirements (e.g., HIPAA)
Understanding of healthcare data, including clinical, operational, and financial data models, preferred
Advanced proficiency in SQL, data modeling, database design, optimization, and performance tuning
Experience designing and integrating data from disparate systems into harmonized data models or semantic layers
Hands-on experience with modern cloud-based data platforms (e.g Azure, AWS, GCP)

Job Responsibility

Collaborate with the CDIO and Director of Technology to define a clear data vision aligned with the organization's goals and execute the enterprise data roadmap
Serve as a thought leader for data engineering and analytics, guiding the evolution of our data ecosystem and championing data-driven decision-making across the organization
Build and mentor a small data team, providing technical direction and performance feedback, fostering best practices and continuous learning, while remaining a hands-on implementor
Define and implement best practices, standards, and processes for data engineering, analytics, and data management across the organization
Design, implement, and maintain a scalable, reliable, and high-performing modern data infrastructure, aligned with the organizational needs and industry best practices
Architect and maintain data lake/lakehouse, warehouse, and related platform components to support analytics, reporting, and operational use cases
Establish and enforce data architecture standards, governance models, naming conventions ,and documentation
Develop, optimize, and maintain scalable ETL/ELT pipelines and data workflows to collect, transform, normalize, and integrate data from diverse systems
Implement robust data quality processes, validation, monitoring, and error-handling frameworks
Ensure data is accurate, timely, secure, and ready for self-service analytics and downstream applications

What we offer

Paid Time Off, Medical, Dental and Vision plans, Retirement plans
Public Service Loan Forgiveness (PSLF)

Fulltime

Data & Analytics Engineer

Join the best engineering team in media. Morning Brew Inc. is looking for a mid-...

Location

United States

Salary:

150000.00 - 170000.00 USD / Year

Morning Brew Inc.

Expiration Date

Until further notice

Requirements

5+ years of experience in data modeling, querying and developing for cloud data warehouse, and pipeline development
Strong proficiency in SQL, with a track record of writing and optimizing complex queries for large datasets
Experience with DBT (or similar data transformation tools)
Experience in Python or a similar scripting language for building data applications

Job Responsibility

Modeling and serving data that powers our business at every level
Improving the data architecture and adapting to new and changing business requirements
Working with leadership, product engineering, product management, analytics and insights teams to develop and sustain our first party data strategy
Working with the rest of the Product team to ensure the data stack can stay in lock step with the product software stack
Working to not only model and serve data but to tell stories with it

What we offer

401(k) employer match
Premium health, vision, and dental plans
Mental health benefits
Extra help when you need it: including a care concierge, plus free access to One Medical and the Calm app
Family planning: Generous paid parental leave and fertility coverage for eligible employees
Employee Resource Groups: Black Coffee, LGBTQ Brew, AAPI Brew, Cafe Con Leche, and Grounded
Gym and workout class reimbursements
Annual learning credit

Fulltime

Data & Analytics Engineer

As a Data & Analytics Engineer with MojoTech you will work with our clients to s...

Location

United States

Salary:

90000.00 - 150000.00 USD / Year

MojoTech

Expiration Date

Until further notice

Requirements

3+ years of experience in Data Engineering, Data Science, Data Warehousing
Strong experience in Python
Experience building and maintaining ETL/ELT pipelines, data warehouses, or real-time analytics systems
BA/BS in Computer Science, Data Science, Engineering, or a related field or equivalent experience in data engineering or analytics
Track record of developing and optimizing scalable data solutions and larger-scale data initiatives
Strong understanding of best practices in data management, including sustainment, governance, and compliance with data quality and security standards
Commitment to continuous learning and sharing knowledge with the team

Job Responsibility

Work with our clients to solve complex problems and to deliver high quality solutions as part of a team
Collaborating with product managers, designers, and clients, you will lead discussions to define data requirements and deliver actionable insights and data pipelines to support client analytics needs

What we offer

Performance based end of year bonus
Medical, Dental, FSA
401k with 4% match
Trust-based time off
Catered lunches when in office
5 hours per week dedicated to self-directed learning, innovation projects, or skill development
Dog Friendly Offices
Paid conference attendance/yearly education stipend
Custom workstation
6 weeks parental leave

Fulltime

Sap Btp Data & Analytics Engineer

At LeverX, we have had the privilege of working on over 950 SAP projects, includ...

Location

Salary:

Not provided

LeverX

Expiration Date

Until further notice

Requirements

3+ years of experience with SAP Datasphere, SAP Analytics Cloud, SAP Databricks, and SAP BW/4HANA
Strong knowledge of data modeling, SQL, data integration & reporting techniques
Experience with data extraction, delta loads, and reporting from S/4HANA or other SAP systems
English B2+

Job Responsibility

Develop and maintain data models in SAP Datasphere for reporting and analytics consumption
Design and enhance stories and planning models in SAP Analytics Cloud
Build ETL and replication flows, manage task chains, and maintain data consistency across systems
Collaborate with business stakeholders to gather requirements and propose solutions
Ensure solutions are scalable, reliable, and aligned with global project standards

What we offer

89% of projects use the newest SAP technologies and frameworks
Expert communities and internal courses
Valuable perks to support your growth and well-being
Employment security: We hire for our team, not just a specific project. If your project ends, we will find you a new one
Healthy work atmosphere: On average, our employees stay in the company for 4+ years

Director, Data Engineering & Analytics

We are seeking a proven Data and Analytics leader to run our data team. This rol...

Location

United States , Washington, DC

Salary:

165000.00 - 295625.00 USD / Year

Arcadia

Expiration Date

Until further notice

Requirements

Expert Data & Analytics leader with demonstrated experience processing and analyzing large-scale datasets (billions of records)
Deep expertise with Snowflake as a data platform, including performance optimization, cost management, and architecting for scale
Hands-on experience with modern data stack: dbt for transformation, Hex for analytics, and Fivetran/Airbyte for data ingestion
Have built and led Data & Analytics teams at high-growth SaaS companies, specifically those dealing with high-volume data processing
Experience with utility data, billing systems, or similar high-volume transactional data is highly valued
12+ years in the workforce with significant experience in data-intensive environments
Top-notch technical skills covering both data and quantitative techniques: data facility, descriptive analytics, and predictive modeling
SQL and Python are a must, with demonstrated ability to write optimized queries for large-scale data processing
Experience with data governance, security, and compliance in handling sensitive customer data

Job Responsibility

Build, lead, and scale a successful data organization
Oversee the processing and analysis of several million utility bills per month, ensuring data pipeline reliability, accuracy, and scalability
Ensure data quality and that we are building our products to give our customers the insight they need
Build a multi-year strategy around data infrastructure, enterprise data modeling, and processing capabilities
Build a framework for data investments that ensures we are appropriately balancing R&D with products that deliver strong return on investment
Lead the optimization and evolution of our Snowflake-based data architecture to handle exponential data growth
Own the enterprise unified data model and architecture that will power all of Arcadia’s applications and use cases

What we offer

competitive benefits and equity component to the package

Fulltime

Data Analytics Engineer

Robert Half

Location:
United States , Sarasota

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 06, 2026

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