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Temp Gcp Data Engineer Jobs in Indiana (NOW HIRING)

Sr DevOps Engineer

Indianapolis, IN · Remote

$123K - $158K/yr

Responsibilities ● Maintenance and Monitoring of existing cloud infrastructure (GCP + AWS) ● ... data privacy standards/regulations

Applies data extraction, transformation and loading techniques in order to connect large data sets ... Experience with GCP/AWS cloud platforms. * Strong knowledge of and measurable hands-on experience ...

Applies data extraction, transformation and loading techniques in order to connect large data sets ... Experience with GCP/AWS cloud platforms. * Strong knowledge of and measurable hands-on experience ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark ...

Solid experience with PostgreSQL - writing queries, analyzing execution plans, and resolving data ... Experience with cloud infrastructure (AWS, GCP, or Azure) and deployment pipelines * Background in ...

Our platform unifies water data in one place, enabling customers to easily manage compliance and ... Familiarity with AWS or GCP Our tech stack: * TypeScript * Node.js * React * Java * AWS

Showing results 41-60

Temp Gcp Data Engineer information

What are some common challenges Temp GCP Data Engineers face when onboarding to new projects?

Temp GCP Data Engineers often encounter challenges such as quickly familiarizing themselves with existing data pipelines, understanding the organization’s data governance policies, and adapting to diverse coding standards or toolsets. Since they are typically brought on for short-term projects, there's often pressure to deliver results rapidly while collaborating with cross-functional teams who may have established workflows. Being proactive in seeking documentation and clear communication with stakeholders can help overcome these hurdles and accelerate the onboarding process.

What is the difference between Temp Gcp Data Engineer vs Gcp Data Analyst?

AspectTemp Gcp Data EngineerGcp Data Analyst
CredentialsGCP certifications, SQL, Python, data engineering skillsGCP certifications, SQL, data visualization tools
Work EnvironmentData pipelines, cloud infrastructure, backend systemsData reporting, visualization, business insights
Employer & IndustryTech, finance, healthcare companies using GCPMarketing, retail, finance firms analyzing data

The Temp Gcp Data Engineer focuses on building and maintaining data pipelines and cloud infrastructure, requiring technical skills like GCP certifications and programming. In contrast, a Gcp Data Analyst primarily interprets data, creates reports, and provides insights using visualization tools. While both roles utilize GCP, their responsibilities and skill sets differ significantly, catering to different organizational needs.

What is a Temp GCP Data Engineer?

A Temp GCP Data Engineer is a temporary or contract professional who specializes in designing, building, and maintaining data processing systems on Google Cloud Platform (GCP). They work with cloud-based tools and services such as BigQuery, Dataflow, and Cloud Storage to manage, transform, and analyze large datasets. Their role often involves developing data pipelines, ensuring data quality, and supporting analytics or business intelligence initiatives for organizations using GCP. As a temporary position, they may be hired for specific projects or to fill short-term staffing needs.

What are the key skills and qualifications needed to thrive as a Temp GCP Data Engineer, and why are they important?

To thrive as a Temp GCP Data Engineer, you need strong expertise in data engineering concepts, proficiency in SQL and Python, and experience with cloud data architecture, often supported by a relevant degree and Google Cloud Platform (GCP) certifications. Familiarity with GCP tools such as BigQuery, Dataflow, Pub/Sub, and Data Studio is essential, along with knowledge of CI/CD and data pipeline orchestration systems. Problem-solving skills, adaptability, and effective communication are crucial soft skills for collaborating with cross-functional teams and addressing evolving project needs. These competencies ensure reliable, scalable data solutions and enable rapid contribution within fast-paced, temporary project environments.
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Lead Data Mgt Engineer - Archiving/ILM

Deloitte

Indianapolis, IN • Hybrid

$98K - $129K/yr

Full-time

Posted 4 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services


Job description

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 08/13/2026.

Work you'll do

As a Lead Data Management Engineer II on the AI & Data team, you will be responsible for leading the design and delivery for client engagements.

  • Lead small engagements or key workstreams within large, complex data and analytics transformations
  • Design and implement cloud and hybrid data architectures, migration approaches, and technology solutions across data and analytics platforms
  • Manage day-to-day stakeholder relationships and align technical delivery to business and program objectives
  • Oversee quality of team deliverables and recommendations while contributing to hands-on solution delivery across distributed teams
  • Support practice growth through proposal development, thought leadership, and coaching junior practitioners

The team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

  • 8+ years Data Archiving and Information Lifecycle Management consulting experience to include retention management, data integrity, system performance, and legacy-system decommissioning client projects
  • 6+ years hands-on experience with SAP ILM, SAP Data Archiving, JiVS IMP, OpenText VIM and E-invoicing
  • 2+ years experience leading, managing and delivering complex technology engagements end-to-end with resources in multiple locations
  • Bachelor's degree
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • Experience with cloud computing platforms, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • Consulting experience in client-facing delivery roles
  • Experience in creating critical collaterals for client workshops and customer interactive sessions
  • Experience presenting to both large and small audiences

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 $134,500 - $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 08/13/2026.

Work you'll do

As a Lead Data Management Engineer II on the AI & Data team, you will be responsible for leading the design and delivery for client engagements.

  • Lead small engagements or key workstreams within large, complex data and analytics transformations
  • Design and implement cloud and hybrid data architectures, migration approaches, and technology solutions across data and analytics platforms
  • Manage day-to-day stakeholder relationships and align technical delivery to business and program objectives
  • Oversee quality of team deliverables and recommendations while contributing to hands-on solution delivery across distributed teams
  • Support practice growth through proposal development, thought leadership, and coaching junior practitioners

The team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

  • 8+ years Data Archiving and Information Lifecycle Management consulting experience to include retention management, data integrity, system performance, and legacy-system decommissioning client projects
  • 6+ years hands-on experience with SAP ILM, SAP Data Archiving, JiVS IMP, OpenText VIM and E-invoicing
  • 2+ years experience leading, managing and delivering complex technology engagements end-to-end with resources in multiple locations
  • Bachelor's degree
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • Experience with cloud computing platforms, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • Consulting experience in client-facing delivery roles
  • Experience in creating critical collaterals for client workshops and customer interactive sessions
  • Experience presenting to both large and small audiences

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 $134,500 - $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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