cloud data engineer

Tata Consultancy Services

<div>
 
 Job Description
 
 
 
 Must Have Technical/Functional Skills
 
 
 <ul>
 <li>
 5+ years of experience building platforms and data products
 </li>
 <li>
 5+ years of experience working with data and data warehousing business solutions
 </li>
 <li>
 5+ years of experience with cloud-platform technologies (AWS, Azure, GCP)
 </li>
 <li>
 AWS data engineering services (Glue, Lambda, Redshift), data modeling/Data mesh
 </li>
 <li>
 5+ years of experience with data pipeline tools and Extract Transform Load (ETL) services
 </li>
 <li>
 Experience with the configuration of Application Programming Interfaces (APIs) for data ingestion
 </li>
 <li>
 Experience with Artificial Intelligence (AI) hardware and software integrationenvironment.
 
 
 </li>
 </ul>
 Roles &amp; Responsibilities
 
 
 <ul>
 <li>
 Design and own the end-to-end cloud data platform architecture for Human Resources (HR) data (ingest, storage, processing, serving, cataloging, and archival)
 </li>
 <li>
 Translate HR analytics and Machine Learning (ML) requirements into logical and physical data models, data products, and platform services
 </li>
 <li>
 Define and implement data ingestion strategies (batch, streaming), transformation patterns (ELT/ETL), and orchestration for HR sources (HRIS, payroll, Learning Management Systems, recruiting, time and attendance, benefits, performance systems)
 </li>
 <li>
 Design, develop, maintain and optimize internal company data architecture for complex databases/data warehouse required to operate the business
 </li>
 <li>
 Complete data modelling for acquisition and database implementation collaborating with different stakeholders
 </li>
 <li>
 Apply data extraction, transformation and loading techniques to connect large and complex data sets from a variety of sources
 </li>
 <li>
 Lead the creation of data collection frameworks for structured and unstructured data and solve complex data problems to generate features required by data scientists
 </li>
 <li>
 Lead activities to develop and maintain complex infrastructure systems (e.g., data warehouses, data lakes) including data access Application Programming Interfaces (APIs)
 </li>
 <li>
 Analyze and manage complex data
 </li>
 <li>
 Guide other data and analytics professionals on data standards and practices
 </li>
 <li>
 Create a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytics solutions
 </li>
 <li>
 Lead build of repeatable data pipelines across complex multi- and hybrid-cloud environments
 </li>
 <li>
 Leverage automation extensively for scalability, repeatability, and reuse
 
 
 </li>
 </ul>
 Generic Managerial Skills, If any
 
 
 <ul>
 <li>
 Experience in Human Resources
 </li>
 <li>
 Experience with DevOps/DevSecOps and CI/CD practices, methodologies and tooling
 </li>
 <li>
 Experience wit h Azure DevOps (ADO) or Team Foundation Server (TFS), GitLab, GIT, IIS, Windows Server
 </li>
 <li>
 Experience with PCF (Pivotal Cloud Foundry)/Tanzu and/or exposure to Amazon Web Services, Google Cloud Platform, or Microsoft Azure
 </li>
 <li>
 Experience with Cloud technologies and/or Cloud-native app development and microservices
 
 
 </li>
 </ul>
 Base Salary Range : $100,000 to $130,000 Per Annum
 
 
 
 TCS Employee Benefits Summary
 
 
 
 Discretionary Annual Incentive.
 
 
 Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.
 
 
 Family Support: Maternal &amp; Parental Leaves.
 
 
 Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.
 
 
 Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.
 
 
 Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.
 
 
 Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
 
 
 
 Qualifications:
 
 BACHELOR OF COMPUTER SCIENCE
 
 
</div>

Cloud Data Engineer

Granite Telecommunications

<div>Summary of Position:

he Cloud Data Ops team is hiring a Senior Cloud DBA &amp; Data Platform Engineer who brings deep, hands-on DBA expertise across SQL Server, Postgres (w/Timescale) and Oracle, combined with strong cloud-native skills in GCP and AWS. This role is responsible for performance tuning, cloud platform operations, automation, and ensuring the reliability of mission-critical relational and time-series data systems across multiple clouds.

Duties and Responsibilities:

Core DBA Responsibilities (SQL Server &bull; Postgres &bull; Oracle &bull; TimescaleDB)
<ul>
<li>Perform advanced DBA duties including installation, configuration, patching, backup/restore, HA/DR,
 
and security hardening across SQL Server, Postgres, Oracle, and TimescaleDB.</li>
<li>Diagnose and tune performance using execution plans, indexing strategies, wait event analysis, and I/O
 
profiling.</li>
<li>Optimize relational and time series workloads, including hypertables, chunk management, retention
 
policies, and compression strategies in TimescaleDB.</li>
<li>Implement schema changes, index strategies, and query rewrites to improve workload efficiency.</li>
<li>Support database lifecycle management across on prem, GCVE, and cloud native platforms</li>
<li>Partner with application, analytics, and engineering teams to optimize database driven workloads.</li>
</ul>
Cloud Native Data Platform Operations (GCP &amp; AWS)
<ul>
<li>Operate and optimize workloads on CloudSQL, BigQuery, AWS RDS/Aurora, and GCVE hosted SQL
 
Server.</li>
<li>Apply DBA fundamentals to cloud native services, ensuring performance, reliability, and cost efficiency.</li>
<li>Support migrations from on prem/VM based SQL Server, Oracle, and Postgres to managed cloud
 
services.</li>
<li>Implement observability across cloud platforms (Cloud Monitoring, CloudWatch, logs, metrics, traces).</li>
<li>Participate in multi cloud operational readiness, incident response, and performance engineering.</li>
</ul>
Linux &amp; Systems Engineering
<ul>
<li>Manage and troubleshoot Linux based Postgres, TimescaleDB, and Oracle environments.</li>
<li>Perform system level tuning (CPU, memory, I/O, kernel parameters) to support database performance.</li>
<li>Support containerized and orchestrated environments (Docker, EKS, GKE) where applicable.
</li></ul>Automation &amp; Cloud Data Ops Engineering
<ul>
<li>Automate DBA and operational tasks using bash, PowerShell, or Python.</li>
<li>Contribute to CI/CD workflows and infrastructure automation (Terraform preferred).</li>
<li>Improve reliability through scripting, monitoring, alerting, and self service tooling.</li>
<li>Participate in on call rotations for critical data systems.</li>
</ul>
Required Qualifications:
<ul>
<li>Strong, hands on DBA experience with SQL Server, Postgres, Oracle, and TimescaleDB.</li>
<li>Deep proficiency in SQL, performance tuning, indexing, execution plan analysis, and workload
 
optimization.</li>
<li>Experience operating databases in GCP (CloudSQL, BigQuery, GCE/GCVE) and/or AWS (RDS/Aurora).</li>
<li>Solid Linux skills, including bash scripting and system level troubleshooting.</li>
<li>Familiarity with observability and monitoring tools (pg_stat views, Query Store, Cloud Monitoring, CloudWatch, Zabbix, Datadog, etc.).</li>
<li>Ability to support mission critical production systems in a multi cloud environment.</li>
<li>Strong understanding of DBA fundamentals applied in cloud native and time series contexts.</li>
</ul>
Preferred Qualifications:
<ul>
<li>Experience with Terraform, Azure DevOps (ADO), or other CI/CD/IaC tooling.</li>
<li>Exposure to EKS, GKE, or other Kubernetes platforms.</li>
<li>Familiarity with Docker and containerized database operations.</li>
<li>Experience with OCI or Oracle Cloud services.</li>
<li>Background in cloud migration, modernization, or hybrid cloud architectures</li>
</ul>
Compensation Range:

The compensation range for this position is $140,000&ndash;$180,000 and represents the range that Granite reasonably and in good faith expects to pay for this role at the time of posting. This position is eligible for bonus. Final compensation will be determined based on several factors, including but not limited to experience, education, job related skills, and overall alignment with the role.

#LI-SR1

Requirements:
Granite delivers advanced communications and technology solutions to businesses and government agencies throughout the United States and Canada. We provide exceptional customized service with an emphasis on reliability and outstanding customer support and our customers include over 85 of the Fortune 100. Granite has over $1.85 Billion in revenue with more than 2,100 employees and is headquartered in Quincy, MA. Our mission is to be the leading telecommunications company wherever we offer services as well as provide an environment where the value of each individual is recognized and where each person has the opportunity to further their growth and achieve success.

Granite has been recognized by the Boston Business Journal as one of the &quot;Healthiest Companies&quot; in Massachusetts for the past 15 consecutive years.

Our offices have onsite fully equipped state of the art gyms for employees at zero cost.

Granite's philanthropy is unparalleled with over $300 million in donations to organizations such as Dana Farber Cancer Institute, The ALS Foundation and the Alzheimer's Association to name a few.

We have been consistently rated a &quot;Fastest Growing Company&quot; by Inc. Magazine.

Granite was named to Forbes List of America's Best Employers 2022, 2023 and 2024.

Granite was recently named One of Forbes Best Employers for Diversity.

Our company's insurance package includes health, dental, vision, life, disability coverage, 401K retirement with company match, childcare benefits, tuition assistance, and more.

If you are a highly motivated individual who wants to grow your career with a fast paced and progressive company, Granite has countless opportunities for you.

EOE/M/F/Vets/Disabled</div>

Senior Cloud Data Ops Engineer

Premier Cloud

<div>About Premier Cloud
Premier Cloud is a Google Cloud Premier Partner dedicated to helping organizations modernize, collaborate, and scale through the power of cloud technology. Founded in 2001, we deliver cloud consulting, managed services, and tailored solutions to SMB and enterprise clients across North America. 
As one of Canada&rsquo;s fastest-growing companies, we help businesses unlock the full potential of Google Cloud, along with leading SaaS platforms like JumpCloud, Lumin, and Virtru. Our team is driven by innovation, technical excellence, and a shared commitment to delivering measurable impact for our clients. 
At Premier Cloud, we take pride in maintaining a collaborative, light-hearted culture that values creativity, growth, and inclusion. Year after year, we&rsquo;re recognized as a Great Place to Work-Certified&trade; organization and featured among the Best Workplaces in Technology. 
About the role
Join us as a Customer Engineer, Data &amp; Analytics
Premier Cloud - Austin, TX
Premier Cloud at a Glance<ul><li>
Premier Cloud, a Google Cloud Premier Partner, specializes in helping SMB and Enterprise clients across North America modernize, collaborate, and innovate using Google Cloud and SaaS solutions. They offer consulting, managed services, and cloud solutions to major organizations.</li></ul><ul><li>
One of the fastest-growing companies in Canada, headquartered in Victoria, BC, with an office in Austin, TX.</li><li>
Certified a Great Place to Work for 6 years in a row</li><li>
Premier Cloud&rsquo;s professional services include:</li><li><div><ul><li>
Licensing and migration services for businesses wanting to implement Google Workspace</li><li>
Data, AI, and Infrastructure solutions powered by Google Cloud</li><li>
Consulting, training, and various professional services surrounding Google Cloud&rsquo;s products.</li></ul></div></li></ul>
As a Google Cloud Customer Engineer, Data &amp; Analytics at Premier Cloud, you'll be the technical expert in client-facing roles, focusing on scoping, designing, and delivering data solutions on Google Cloud Platform (GCP). You'll work with technical teams to showcase Google Cloud's benefits and help clients leverage GCP for their data needs. Your goal is to turn complex challenges into scalable, high-performance data architectures that enable insights, decision-making, and innovation. You'll explain technical features, assist with architectural design, and resolve issues for prospective customers. Collaborating with clients, cloud architects, and sales teams, you'll deliver solutions aligned with business goals. Google Cloud enables organizations to digitally transform using advanced technology and tools for sustainable growth.<h4 class="jobSectionHeader">
Responsibilities</h4><h4 class="jobSectionHeader">
Solution Delivery &amp; Client Partnership</h4><ul><li>
Lead complex technical discovery and needs analysis with clients and sales teams to deeply understand and solve their unique data challenges and goals.</li><li>
Design and implement scalable, high-performance data solutions on GCP, directly influencing client success and transformation.</li><li>
Develop, build, and deploy critical data pipelines, data warehouses, and data lakes using core GCP services (BigQuery, Dataflow, Dataproc, etc.).</li><li>
Leverage your expertise to optimize data architectures for cost-efficiency and maximum performance.</li></ul><h4 class="jobSectionHeader">
Data Engineering &amp; Implementation</h4><ul><li>
Build and maintain ETL/ELT pipelines to ingest, transform, and load data from various sources.</li><li>
Ensure data quality, integrity, and security throughout the data lifecycle.</li><li>
Work with cloud architects and developers to integrate data solutions into end-to-end client applications.</li></ul><h4 class="jobSectionHeader">
Client Success &amp; Consulting</h4><ul><li>
Conduct client readiness assessments to leverage Google Cloud for data analysis.</li><li>
Provide expert technical guidance and consulting support to clients throughout project lifecycles.</li><li>
Contribute to the development of internal best practices, knowledge sharing, and reusable solution templates for presales use.</li></ul><h4 class="jobSectionHeader">
Qualifications</h4><ul><li>
Minimum Qualifications</li><li><div><ul><li>
Proven experience in designing, building, and deploying data solutions on GCP.</li><li>
Strong expertise in SQL, data warehouse design, and data pipeline development.</li><li>
Understanding of cloud architecture principles and best practices.</li><li>
Excellent written and verbal communication skills, including the ability to explain technical concepts to non-technical stakeholders</li></ul></div></li></ul><ul><li>
Preferred Qualifications</li><li><div><ul><li>
3+ years of experience in a data engineering role.</li><li>
Experience with Looker or other data visualization tools.</li><li>
Knowledge of AI/ML technologies and their application in data solutions.</li><li>
 Professional Data Engineer or other relevant GCP certifications.</li></ul></div></li></ul><h4 class="jobSectionHeader">
Why Premier Cloud? Your Impact and Growth</h4>
Join a Great Place to Work (certified for 6 consecutive years) where your expertise is valued and actively developed.<ul><li>
Direct Impact: You will be pivotal in turning complex client challenges into scalable, high-performance data architectures that drive business insights and innovation.</li><li>
Elite Collaboration: Work directly with Google teams on strategic analytics initiatives, positioning yourself at the forefront of cloud innovation.</li><li>
Career Investment: We invest heavily in your growth, offering ongoing training, certifications, and opportunities to lead cutting-edge Google Cloud projects.</li><li>
Culture of Trust: Thrive in a culture of trust and autonomy, supported by flexible remote work options and premium equipment.</li></ul> 
Benefits<ul><li>
Competitive Compensation: A package that reflects your experience and impact.</li><li>
Growth &amp; Development: Ongoing training, certifications, and opportunities to work on cutting-edge Google Cloud projects.</li><li>
Collaboration with Google: Work directly with Google teams on strategic analytics initiatives.</li><li>
Comprehensive Benefits: Health coverage, paid time off, and relocation assistance (if applicable).</li><li>
Work Environment: Flexible remote work with premium equipment and a culture of trust and autonomy.</li></ul></div>

Customer Engineer, Data & Analytics Req#112

Entarian

<div>Overview/ Job Responsibilities:

Entarian is looking for a Data Engineer for the Naval Supply Systems Command (NAVSUP) Ordnance Information System (OIS) to provide technical expertise on a mission-critical program whose purpose is to develop, modernize, enhance, operate, and maintain services for OIS mission critical systems. 
As Data Engineer you will work on a team consisting of Data and Cloud Architects, Engineers, and Administrators and focus on designing, building, deploying, and maintaining data architectures and databases in the AWS GovCloud environment. 
This position is on-site in a secured space 5 days/week and can be filled in either Mechanicsburg, PA, OR Yorktown, VA.<div></div><div> 
Primary Responsibilities:</div>
The Data Engineer will be responsible for the following:<ul><li>
Develop, construct, test, and maintain high performance, scalable, and stable data architectures for OIS, such as databases and large-scale processing systems, and migrate data from on-premises databases to cloud-based solutions, transforming the data as required.</li><li>
Develop and maintain scalable data pipelines and build out new API integrations, ensure that data pipelines are scalable, repeatable, and secure.</li><li>
Implement and manage databases and data delivery systems and transform them into insights, analysis, and reporting.</li><li>
Identify, research, design, develop, and promote solutions that enhance the modern development environment to ensure systems meet business requirements and industry best practices.</li><li>
Implement the data extraction, data load, and database synchronization routines and functions ETL.</li><li>
Implement data governance and quality controls and monitor ETL/ELT jobs to ensure performance and halt any potential issues.</li><li>
Improve system performance by conducting tests, troubleshooting, and integrating new elements and ensure all data platform solutions adhere to confidentiality and privacy requirements.</li><li>
Collaborate with data scientists, architects, and other stakeholders to ensure that the data infrastructure supports required functions and performance metrics.</li><li>
Design, model, document, and guide the logical and conceptual relationship of data and database changes.</li><li>
Document data architecture and systems for both technical teams and non-technical stakeholders.</li><li>
Perform technical planning, system integration, verification and validation, cost and risk assessments.</li></ul>
Minimum Qualifications:
<ul><li>Must have DOD Secret level clearance to start (&quot;willingness and ability for T3 upgrade to T5 background investigation); U.S. Citizen required only for Federal Clearance Requirement</li><li>
Certification Requirements: Directive 8570.1/8140 - IAT II:
<ul><li>Baseline Certification: Security+
</li><li>Computing Environment Certification: AWS Certified Solutions Architect or AWS Certified Data Engineer or similar equivalent Cloud environment certification or Oracle Database Certified Associate or equivalent Database Certification (highly preferred to have in hand upon applying; if not, must obtain within 3 months of start)</li></ul></li><li>
BA/BS (in Engineering, Computer Science or related field) or equivalent experience and 10+ years of prior relevant experience or master&rsquo;s with 8+ years or prior relevant experience.</li><li>
Experience with implementing data warehousing concepts, ETL (Extract, Transform, Load) processes, and tools (e.g., Pentaho)</li><li>
Experience with developing and administrating in PostreSQL</li><li>
Strong proficiency in SQL and experience with other querying languages.</li><li>
Experience in decomposition of Oracle PL/SQL stored procedures and triggers to migrate to Amazon Aurora DB, Postgres, or MySQL</li><li>
Proven, hands‑on expertise in data modeling, schema design, and database optimization, with the ability to design, implement, and optimize complex data structures in production environments.</li><li>
Knowledge of data security and compliance best practices.</li><li>
Excellent verbal and written communication skills, with the ability to interact effectively with technical and non-technical stakeholders.</li><li>
Must be a self-starter and have the ability to work independently with little supervision.</li></ul>
Desired Qualifications:
<ul><li>Highly preferred DOD Top Secret level clearance to start (fully adjudicated T5 background investigation)&quot;</li><li>
Experience with GitLab, Liquibase, CI/CD pipelines highly preferred</li><li>
Experience with big data technologies such as Apache Hadoop, Spark, Kafka, Debezium, RabbitMQ, etc.</li><li>
Demonstrated experience in network and cyber security design, engineering and operations with emphasis on Navy capabilities</li><li>
Navy experience</li><li>
Experience with cloud data services (e.g., AWS, Azure, GCP)</li><li>
Experience with Cloud Relational Database Services (e.g, AWS RDS, Aurora DB)</li><li>
SAFe experience and knowledge</li><li>
Experience with Data warehousing and Business Intelligence tools such as RedShift, MicroStrategy, Erwin Data Modeler, etc.</li><li>
Experience with one or more programming languages like Python, Java, Scala, or Go.</li></ul>
About Us:
<div>
Formed through the strategic union of Sev1Tech and ERT, Entarian is a premier provider of mission-critical engineering and technology solutions. Founded on a legacy of excellence dating back to 1993, Entarian is a product of an evolved and fully diversified engineering and federal technology leader. From deep space to defense and civilian missions, Entarian delivers secure, mission-aligned digital solutions that drive national resilience and operational effectiveness. We don't just support modernization; we define it.</div><div></div><div> 
Join the Mission and Start your Career Journey: Apply Directly via our Careers Portal Connect, Referrals &amp; Inquiries? Email the team: careers@entarian.com</div><div></div><div> 
Entarian is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.</div></div>

Data Engineer

ValueBase Consulting

<div>Job Title: Data Engineer (AWS &amp; Python) 
Location: Des Moines, IA (Onsite / Hybrid &ndash; Must be available for In-Person Interview) 
Duration: 12+ Months Contract 
Rate: $50/HR on W2 
Visa: Open to All Work Authorization Types 
Interview Process: In-Person Interview Required
<h4 class="jobSectionHeader">Job Description</h4>
We are seeking an experienced Data Engineer with strong expertise in AWS Cloud Services and Python development to join a long-term project in Des Moines, IA. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines, data integration solutions, and cloud-based data platforms. This role requires hands-on experience with modern data engineering practices, cloud technologies, and large-scale data processing.
<h4 class="jobSectionHeader">Key Responsibilities</h4>
<ul><li>Design, develop, and maintain scalable ETL/ELT pipelines using Python and AWS services.</li>
<li>Build and optimize data ingestion, transformation, and processing frameworks for structured and unstructured data.</li>
<li>Develop and manage data workflows using AWS cloud technologies.</li>
<li>Create and maintain data lakes and data warehouses to support analytics and reporting needs.</li>
<li>Collaborate with business stakeholders, data analysts, and application teams to understand data requirements.</li>
<li>Implement data quality, validation, and monitoring processes to ensure data accuracy and reliability.</li>
<li>Optimize database performance, query execution, and cloud resource utilization.</li>
<li>Develop automation scripts and reusable components for data processing and deployment.</li>
<li>Support data governance, security, and compliance initiatives.</li>
<li>Troubleshoot production issues and provide ongoing support for data platforms.</li>
</ul><h4 class="jobSectionHeader">Required Skills</h4>
<ul><li>5+ years of experience in Data Engineering.</li>
<li>Strong programming experience with Python.</li>
<li>Hands-on experience with AWS services, including:
<ul><li>AWS S3</li>
<li>AWS Glue</li>
<li>AWS Lambda</li>
<li>AWS Redshift</li>
<li>AWS EMR</li>
<li>AWS Athena</li>
<li>AWS RDS</li>
<li>AWS CloudWatch</li>
<li>IAM</li>
</ul></li><li>Experience building ETL/ELT pipelines and data integration solutions.</li>
<li>Strong SQL skills and experience with relational databases.</li>
<li>Experience working with large-scale datasets and distributed processing frameworks.</li>
<li>Knowledge of data modeling, data warehousing, and data lake architectures.</li>
<li>Experience with version control tools such as Git.</li>
<li>Familiarity with Agile/Scrum development methodologies.</li>
<li>Strong analytical, problem-solving, and communication skills.</li>
</ul><h4 class="jobSectionHeader">Preferred Qualifications</h4>
<ul><li>Experience with Apache Spark and PySpark.</li>
<li>Knowledge of Airflow or other workflow orchestration tools.</li>
<li>Experience with CI/CD pipelines and DevOps practices.</li>
<li>AWS Certifications (Preferred).</li>
<li>Experience with Snowflake, Databricks, or modern cloud analytics platforms.</li>
<li>Experience working in enterprise-scale environments.</li>
</ul><h4 class="jobSectionHeader">Education</h4>
<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, Engineering, or a related field.</li>
<li>Equivalent work experience will also be considered.</li>
</ul><h4 class="jobSectionHeader">Additional Information</h4>
<ul><li>Location: Des Moines, IA</li>
<li>Duration: 12+ Months Contract</li>
<li>Rate: $50/HR on W2</li>
<li>Interview: In-Person Interview Required</li>
<li>Work Authorization: Any Visa / Work Authorization Accepted</li>
<li>Start Date: Immediate</li>
</ul>
Candidate must currently be able to attend an in-person interview in Des Moines, IA and work onsite as required by the client.</div>

Data Engineer (AWS & Python)

Deloitte

<div>
 Join Deloitte's Core AI &amp; Data practice and help organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities. As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and technology teams to modernize data environments, support analytics and artificial intelligence use cases, and deliver measurable business outcomes. This role offers the opportunity to help clients implement enterprise-scale Databricks solutions that improve platform performance and expand data-driven decision-making.
 
 
 Recruiting for this role ends on 07/03/2026.
 
 
 Work you'll do
 
 
 As a Databricks Data Engineer on the Core AI &amp; Data team, you will be responsible for:
 
 
 <ul>
 <li>
 Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL)
 </li>
 <li>
 Support the modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns
 </li>
 <li>
 Develop and maintain batch and streaming data workflows that support reporting, analytics, and artificial intelligence use cases
 </li>
 <li>
 Apply data architecture, integration, and data modeling practices to improve data quality, scalability, and platform performance
 </li>
 <li>
 Collaborate with client and Deloitte teams to troubleshoot issues, implement enhancements, and support delivery of large-scale data transformation programs
 </li>
 <li>
 A successful candidate would possess these skills:
 </li>
 <li>
 Ability to work independently and collaborate as part of a team
 </li>
 <li>
 Effective written and verbal communication skills
 </li>
 <li>
 Meticulous attention to detail and quality of work product
 </li>
 <li>
 Ability to build and sustain professional relationships
 </li>
 <li>
 Ability to lead projects or workstreams
 </li>
 <li>
 Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
 </li>
 <li>
 Strong interpersonal skills and professional demeanor
 </li>
 <li>
 Ability to meet deadlines
 </li>
 <li>
 Ability to provide clear guidance to others
 
 
 </li>
 </ul>
 The team
 
 
 Deloitte's Core AI &amp; Data practice helps organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities across the business. The team works with clients to architect, engineer, and deploy cloud-based data solutions that improve decision-making, enable innovation, and support large-scale transformation. Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery.
 
 
 Qualifications Required:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics
 </li>
 <li>
 3+ years of experience in data engineering, extract, transform, load (ETL) development, or data platform engineering
 </li>
 <li>
 2+ years of experience building data pipelines in Databricks using Apache Spark, Python, and Structured Query Language (SQL)
 </li>
 <li>
 Experience implementing data models, data integration patterns, and cloud-based data processing workflows
 </li>
 <li>
 Experience working with at least one cloud platform: Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
 </li>
 <li>
 Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
 </li>
 <li>
 Limited immigration sponsorship may be available.
 
 
 </li>
 </ul>
 Preferred:
 
 
 <ul>
 <li>
 Experience with Delta Lake, Databricks Workflows, and Unity Catalog
 </li>
 <li>
 Experience using Git-based version control and continuous integration/continuous deployment pipelines
 </li>
 <li>
 Experience supporting batch and streaming data workloads
 </li>
 <li>
 Experience with data warehousing, lakehouse architecture, and performance optimization
 </li>
 <li>
 Experience supporting analytics or machine learning data pipelines
 </li>
 <li>
 Experience working in consulting or client service delivery environments
 
 
 </li>
 </ul>
 The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $86,700 to $170,900.
 
 
 Information for applicants with a need for accommodation:
 
 
 https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...
</div>

Databricks Data Engineer

<div>
 
 Introduction
 
 
 
 A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You&rsquo;ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you&rsquo;ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You&rsquo;ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
 
 
 
 Your Role And Responsibilities
 
 
 
 As a Data Engineer specializing in Data Platforms-Databricks, you will play a critical role in building and enhancing the Databricks platform for client's Data and AI use cases. This role involves implementing Data and AI use cases on the Databricks platform, requiring strong technical expertise and collaboration. Your primary responsibilities will include:
 
 
 <ul>
 <li>
 Implement Data and AI use cases: Implement data and AI use cases on the Databricks platform, ensuring seamless integration and optimal performance.
 </li>
 <li>
 Enhance Databricks Platform: Build and enhance the Databricks platform to meet client needs, leveraging expertise in data engineering and cloud technologies.
 </li>
 <li>
 Support Client Use Cases: Collaborate with clients to understand their data and AI requirements, providing technical expertise to implement use cases on the Databricks platform.
 
 
 </li>
 </ul>
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Databricks Platform Expertise: Experience with building and enhancing Databricks platforms for data and AI use cases, including implementing data and AI solutions.
 </li>
 <li>
 Data Engineering Skills: Experience with data engineering principles and practices, including data processing, storage, and retrieval on cloud-based platforms.
 </li>
 <li>
 Cloud Technology Knowledge: Experience with cloud technologies, including migration, deployment, and management of data and AI applications on cloud-based infrastructure.
 </li>
 <li>
 Implementation Expertise: Experience with implementing data and AI use cases on Databricks platforms, ensuring seamless integration and optimal performance.
 </li>
 <li>
 Technical Collaboration: Experience working collaboratively with clients to understand their data and AI requirements, providing technical expertise to implement use cases on the Databricks platform.
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Cloud Migration Knowledge: Exposure to migrating data and AI applications to cloud-based infrastructure, including deployment and management on Databricks platforms.
 </li>
 <li>
 Advanced Data Engineering: Exposure to advanced data engineering principles and practices, including data processing, storage, and retrieval on cloud-based platforms.
 </li>
 <li>
 AI Solution Implementation: Exposure to implementing AI solutions on Databricks platforms, ensuring seamless integration and optimal performance.
 </li>
 </ul>
</div>

Senior Data Engineer - Data Integration - Databricks

Search 7650+ Cloud data engineer jobs near you this June. New roles added regularly across leading industries. Apply today.