Data & Analytics Engineer

PowerToFly; California (MO); Hybrid; USD 125,000 - 208,000; Full time

Job summary

Deloitte's Project Delivery Model seeks a Data & Analytics Engineer to design, build, and operate analytics data products across hybrid cloud environments. You will collaborate with infrastructure, product, and science teams to create scalable pipelines and reliable data foundations, delivering faster insights.

The role emphasizes strong SQL/Spark/Scala skills, modern data platforms, and effective communication. A hybrid schedule in CA is required, with travel up to 10% and on-site Tue-Thu.

Qualifications

• 7+ yrs of experience designing, developing, and deploying next-generation analytical data products.
• Strong hands-on experience in SQL, Spark, and Scala, and data pipeline tools in a production environment (Apache Spark, Kafka, Airflow), CI/CD practices, and version control.
• Experience building and maintaining large-scale data pipelines with a focus on scalability, performance, reliability, and data quality.
• Proficiency with cloud platforms (AWS, Azure, or GCP) and modern data management and visualization platforms.
• Strong understanding of data warehousing, data modeling (dimensional/star schemas), and metric standardization.
• Experience with modern data platforms and lakehouse technologies (e.g., Iceberg, Trino, Superset).
• Good understanding of data modeling, analytics, and metric.
• Above average communication skills in order to work directly with stakeholders.
• Good problem-solving skills with the ability to investigate complex data issues and derive actionable insights in analytical world
• Bachelor's degree in economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.
• Limited immigration sponsorship may be available.
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
• Hybrid role - On-site Tue-Wed-Thu

Responsibilities

• The role includes building and maintaining data pipelines for aggregation and post-processing as the project evolves.
• Lead day-to-day operations to ensure organizational delivery of quality results.
• Responsible for provisioning, enabling, scaling and maintaining our team's data, analytics and ML infrastructures for batch and real time systems including pipelines, frameworks, tools and services in hybrid cloud.
• Shepherd zero-downtime deployment process through continuous delivery practices, rapidly releasing features that provide critical and faster insights to business users.
• Collaborate with the platform team by building the right tools for observability, monitoring, alerting and self-healing for the day-to-day management of analytics foundations.
• Debug complex problems in distributed environment and ability to run the prod incidents efficiently to follow up with Post incident reviews.
• Developing self-service tools and automation to improve engineering efficiency and the quality of services.
• Excellent verbal and written communication skills.
• Self-starter with forward thinking capability with strong executional track record and be accountable for business priorities.
• and Cassandra.
• Solid understanding of IAAC (infrastructure as a code) techniques like terraform, orchestration and tooling.
• Experience scaling operations in a fast-paced and dynamic environment. Experience working in agile or evolving product environments.
• Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
• Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes

Skills

SQL

Spark

Scala

Kafka

Airflow

CI/CD

version control

cloud platforms

data modeling

Education

Bachelor's degree in economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences

Master's degree (preferred)

Tools

Apache Spark

Kafka

Airflow

Iceberg

Trino

Superset

Job description

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data & Analytics Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Work you'll do/Responsibilities

As data & analytics engineer, you will collaborate with various infrastructure teams, platforms, product, engineering and scientists, to identify requirements that will derive the creation of sensible operations to build and manage data analytics foundations. The ideal candidate is a self-motivated teammate with good problem solving and communication skills with the ability to adapt and learn quickly, provide results with limited direction, and choose the best possible operational decisions.

• The role includes building and maintaining data pipelines for aggregation and post-processing as the project evolves.
• Lead day-to-day operations to ensure organizational delivery of quality results.
• Responsible for provisioning, enabling, scaling and maintaining our team's data, analytics and ML infrastructures for batch and real time systems including pipelines, frameworks, tools and services in hybrid cloud.
• Shepherd zero-downtime deployment process through continuous delivery practices, rapidly releasing features that provide critical and faster insights to business users.
• Collaborate with the platform team by building the right tools for observability, monitoring, alerting and self-healing for the day-to-day management of analytics foundations.
• Debug complex problems in distributed environment and ability to run the prod incidents efficiently to follow up with Post incident reviews.
• Developing self-service tools and automation to improve engineering efficiency and the quality of services.
• Excellent verbal and written communication skills.
• Self-starter with forward thinking capability with strong executional track record and be accountable for business priorities.
• and Cassandra.
• Solid understanding of IAAC (infrastructure as a code) techniques like terraform, orchestration and tooling.
• Experience scaling operations in a fast-paced and dynamic environment. Experience working in agile or evolving product environments."
• Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
• Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes

The Team

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.

Qualifications

Required

• 7+yrs of experience designing, developing, and deploying next-generation analytical data products
• Strong hands-on experience in SQL, Spark, and Scala, and data pipeline tools in a production environment (Apache Spark, Kafka, Airflow), CI/CD practices, and version control
• Experience building and maintaining large-scale data pipelines with a focus on scalability, performance, reliability, and data quality
• Proficiency with cloud platforms (AWS, Azure, or GCP) and modern data management and visualization platforms
• Strong understanding of data warehousing, data modeling (dimensional/star schemas), and metric standardization
• Experience with modern data platforms and lakehouse technologies (e.g., Iceberg, Trino, Superset)
• Good understanding of data modeling, analytics, and metric
• Above average communication skills in order to work directly with stakeholders.
• Good problem-solving skills with the ability to investigate complex data issues and derive actionable insights in analytical world
• Bachelor's degree in economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.
• Limited immigration sponsorship may be available
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Hybrid role - On-site Tue-Wed-Thu

Preferred

• Good understanding of data modeling, analytics, and metric design
• Good problem-solving skills with the ability to investigate complex data issues and derive actionable insights
• Exposure to AI/ML, recommendation systems, feature engineering, GenAI, RAG, or other AI-powered data products is a strong plus - role is not exclusively AI-focused
• Knowledge of and experience in leveraging Applied Statistical/ML techniques
• Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action.
• Track record of leading organization-wide strategic initiatives or transformative analytics projects.
• Master's degree in economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.

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 $124,700 to $207,800 in CA.

Benefits

At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.

Our people and culture

Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.

Our purpose

Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.

Professional development

From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available.

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html