Oracle Bi

Oracle Bi Engineer Jobs

6 jobs found

19d ago

Managed Services - Data Engineer - Experienced Associate

PRICE WATERHOUSE COOPERS Pittsburgh, PA

Pittsburgh, PA

19d ago

$63k - $140k/yr Full time Analytics Business Intelligence Cloud

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Job Description

Responsibilities

Develop and deploy data driven solutions aimed at enhancing business performance and competitive edge, covering data engineering and ETL processes.
Apply advanced analytics techniques to uncover strategic insights and support data informed decision making for clients, including SQL optimization.
Build and maintain data pipelines to enable efficient data collection and analysis, leveraging DataStage.
Use business intelligence tools such as Oracle Business Intelligence and QlikView to deliver comprehensive reports and dashboards, incorporating DB2 and SQL Server data sources.
Collaborate with team members to gather and analyze data from multiple sources to identify patterns and trends, utilizing star schemas and dimensional modeling.
Apply data architecture development skills to design and sustain robust database management systems, including snowflake style models.
Participate in ongoing process improvement to elevate data quality and integrity.
Support client engagement by actively listening and addressing diverse perspectives and needs within regulated environments.
Contribute to the development of business cases and market development strategies through data analysis and interpretation.
Adapt to a fast paced environment and take ownership of tasks to consistently deliver quality work, including experience with job scheduling and UNIX.

Requirements

Bachelor's degree required
Minimum 1 year of experience

Technologies

DataStage
Oracle BI
QlikView
SQL Server
DB2
SQL
Spotfire
Python
Java
UNIX
Snowflake

Benefits

Medical insurance
Dental insurance
Vision insurance
401(k) plan
Holiday pay
Vacation
Personal and family sick leave
Annual discretionary bonus

The Opportunity

As a Managed Services Data Engineer at the Experienced Associate level, you will leverage data and analytics to deliver strategic insights and support informed client decisions. Within PwC's Data and Analytics practice, you will design and implement innovative solutions to optimize performance and strengthen competitive advantage. The role emphasizes learning, client engagement, and delivering high-quality work while building your skills and knowledge over time. You will operate in a dynamic environment that values ownership and a proactive approach to development and collaboration.

What Sets You Apart

Preference for study in one of several fields including Computer and Information Science, Economics, Statistics, Engineering, or related programs.
Proficiency in Python and Java programming.
Experience with data visualization tools such as QlikView and Spotfire.
Background in developing business intelligence solutions using Oracle BI.
Experience in data architecture development and management.
Ability to apply macroeconomic and microeconomic analysis techniques.
Strong data analysis and interpretation capabilities.

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21d ago

Managed Services - Senior Data Engineer - Senior Manager

PwC Phoenix, AZ

Phoenix, AZ

21d ago

$124k - $280k/yr Full time Manager Senior Amazon Web Services

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Job Description

PwC is seeking a Senior Data Engineer - Senior Manager for its Managed Services within Technology Consulting. This onsite role in Phoenix, AZ combines hands-on data engineering with leadership to deliver data-driven client outcomes. The position offers an annual salary range of USD 124,000 to 280,000 and requires a bachelor’s degree plus a minimum of six years of experience.

Responsibilities

Lead the development of innovative solutions to optimize business performance and strengthen competitive position, including roadmap development.
Apply advanced analytics techniques to support client operations and strategic objectives, with emphasis on AWS data engineering and Redshift deployments.
Architect and maintain data pipelines and architectures to enable business intelligence, utilizing DataStage and ETL processes.
Deploy data visualization capabilities to deliver actionable insights, leveraging SQL Server and DB2 platforms.
Collaborate with stakeholders to identify data challenges and opportunities within managed services contexts and service level agreements.
Mentor and motivate cross-functional teams to tackle complex problems and deliver high-quality results.
Employ systems thinking to uncover root causes and opportunities within client projects, including workload orchestration and scheduling.
Validate outcomes with clients and incorporate feedback to refine solutions, tracking CSAT and performance tuning.
Guide teams through ambiguous or challenging situations with steady judgment and composure.

Requirements

Bachelor's degree
Minimum of 6 years of experience

Technologies

AWS
Redshift
DataStage
ETL
SQL Server
DB2
Python
Java
QlikView
Oracle BI

Benefits

Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave

The Opportunity

As a Senior Data Engineer - Senior Manager, you will leverage data and analytics to provide strategic insights and drive informed decision making for clients. Within PwC's Technology Consulting practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. In the Senior Manager capacity, you will draw on your skills and professional network to deliver quality results, while mentoring and coaching teams to solve complex problems.

What Sets You Apart

Preference for study in fields such as Computer and Information Science, Economics, Statistics, Engineering, or related programs, with combinations including Accounting and Technology or Operations Management/Research.
Proven expertise in data architecture development and data pipeline management.
Experience using Python and Java for complex data analysis and visualization tasks.
Proficiency with business intelligence tools like QlikView and Oracle BI.
Ability to lead strategic questioning and engage with stakeholders effectively.
Applied systems thinking to identify underlying problems and opportunities.
Track record of directing teams through complex and ambiguous situations.

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23d ago

Managed Services - Senior Data Engineer - Senior Manager

PRICE WATERHOUSE COOPERS Las Vegas, NV

Las Vegas, NV

23d ago

$124k - $280k/yr Full time Manager Senior Advanced Analytics

Apply Now

Job Description

PwC Technology Consulting seeks a Senior Data Engineer - Senior Manager to lead analytics driven engagements onsite in Las Vegas, NV. The role centers on leveraging data to provide strategic insights, guide client decisions, and drive performance improvements, while coaching delivery teams and applying sound judgment.

Responsibilities

Develop innovative solutions to optimize business performance and strengthen competitive advantage, including roadmap development.
Apply advanced analytics techniques to support client operations and strategic goals, with emphasis on AWS data engineering and Redshift.
Build and maintain data pipelines and architectures to support business intelligence initiatives using DataStage and ETL processes.
Deploy data visualization tools to deliver actionable insights and improve client outcomes, leveraging SQL Server and DB2.
Collaborate with stakeholders to identify data challenges and opportunities within managed services and SLAs.
Coach and motivate teams to solve complex problems and deliver high quality results.
Apply systems thinking to identify underlying problems and opportunities in client projects, including workload orchestration and scheduling.
Validate outcomes with clients and incorporate feedback to refine solutions, focusing on CSAT and performance tuning.
Direct teams through ambiguous and challenging situations with composure and sound judgment.

Requirements

Bachelor's degree
Minimum of 6 years of experience

Technologies

AWS
Redshift
DataStage
SQL Server
DB2
Python
Java
QlikView
Oracle BI

Benefits

Medical
Dental
Vision
401(k)
Holiday pay
Vacation
Personal and family sick leave

The Opportunity

As a Senior Data Engineer - Senior Manager, you will leverage data and analytics to deliver strategic insights and inform client decision making. In PwC's Technology Consulting practice, you will design and implement innovative solutions to optimize business performance and strengthen competitive advantage. As a Senior Manager, you will apply your expertise and leadership to deliver quality results, mentoring and coaching teams to resolve complex problems.

What Sets You Apart

Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science and Accounting, Economics, Economics and Finance, Economics and Finance and Technology, Operations Management/Research, Statistics, or Engineering.
Advanced skills in data architecture development and data pipeline management.
Proficiency with Python and Java for complex data analysis and visualization.
Proven ability with business intelligence tools such as QlikView and Oracle BI.
Experience leading strategic questioning and stakeholder engagement initiatives.
Applied systems thinking to identify underlying problems and address them effectively.
Experience directing teams through complex and ambiguous situations.

Location

Las Vegas, NV (onsite)

Salary

USD 124,000 - 280,000 per year

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28d ago

Principal Data Engineer

Oracle Nashville, TN

Nashville, TN

28d ago

Full time Senior Analytics Big Data

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Job Description

Oracle is seeking a Principal Data Engineer to lead Data Engineering, BI, and Analytics initiatives for Oracle Cloud Infrastructure. This onsite role in Nashville, TN combines hands-on data engineering with program leadership to design scalable data platforms and reporting solutions that enable data-driven decision-making across OCI.

Responsibilities

Design, build, and scale data pipelines that aggregate information from multiple OCI systems and services.
Develop robust data models, datasets, and reporting frameworks for engineering, operations, customer success, and executive leadership.
Architect and implement scalable analytics platforms to support strategic customer programs and operational decision-making.
Design and maintain enterprise-grade data solutions that improve visibility into customer adoption, operational health, service performance, and business outcomes.
Automate data ingestion, transformation, and reporting processes to reduce manual effort and improve data accuracy.
Establish data quality, governance, lineage, and observability standards across critical datasets.
Partner with engineering teams to define telemetry, instrumentation, and data collection strategies.
Analyze large and complex datasets to identify trends, opportunities, risks, and bottlenecks.
Drive adoption of modern data engineering practices, tools, and technologies across the organization.
Lead cross-functional initiatives spanning engineering, product, operations, and executive leadership.
Break down ambiguous business problems into actionable technical workstreams and deliverables.
Develop functional specifications and oversee execution from concept through delivery.
Identify process gaps and establish scalable mechanisms to improve organizational efficiency.
Manage program schedules, dependencies, risks, and stakeholder communications.
Anticipate bottlenecks, manage escalations, and balance technical constraints with business priorities.
Drive alignment across OCI organizations toward shared objectives and customer outcomes.
Lead interactions with engineers, product managers, architects, customer success leaders, and executive leadership.
Operate effectively in a fast-paced, ambiguous environment while delivering measurable business value.

Business Intelligence & Executive Reporting

Design and deliver BI solutions that provide visible insights into customer health, operations, and strategic objectives.
Develop executive dashboards, KPI frameworks, and reporting used by senior leadership for decision-making.
Collaborate with business leaders to define success metrics and reporting requirements.
Build scalable semantic models and datasets enabling self-service analytics across organizations.
Transform raw data into meaningful business insights and recommendations; standardize reporting methodologies.

Technical Program Management & Strategic Execution

Lead large, cross-functional initiatives across engineering, product, operations, and leadership.
Decompose complex problems into actionable workstreams and measurable deliverables.
Develop functional specifications and drive end-to-end delivery from concept to production.
Identify gaps and implement scalable processes that boost efficiency and execution.
Manage schedules, dependencies, risks, and stakeholder communications; balance constraints with priorities.
Foster alignment across OCI organizations toward common objectives and customer outcomes.

Data Processing, Governance, and Quality

Mentor team members to identify data requirements and business objectives; design data infrastructure for diverse sources.
Design architecture, performance, and security reviews for technical solutions; optimize data collection and indexing.
Build ETL/ELT pipelines supporting scalable data intake and extraction; manage SLAs with data providers.
Independently design data governance policies, including retention, privacy redaction, and data minimization.
Implement data validation and quality checks; automate governance where possible; correct deviations as needed.

Data Pipeline & Solutions Engineering

Leverage advanced ETL knowledge to design, develop, and optimize scalable data pipelines and reusable data products.
Implement storage solutions for accessible, analyzable data; review code and mentor junior team members.

Core Responsibilities

Plan and execute moderately complex tasks; delegate and monitor work across multiple projects.
Collaborate across the organization to align expectations and achieve shared objectives.
Identify and solve moderately complex problems using data-driven analysis; escalate when needed.
Pursue continuous learning, solicit feedback, and mentor junior teammates.
Propose process improvements and measure impact on stakeholders.
Support talent development through involvement in candidate interviews and hiring recommendations.

Technologies

Spark
Kafka
Airflow
Databricks
Snowflake
BigQuery
OCI Data Flow
Oracle Analytics Cloud (OAC)
Tableau
Power BI
Looker
SQL
Oracle Cloud Infrastructure (OCI)

What Success Looks Like

Trusted data platforms and BI solutions underpin decision-making across OCI Strategic Customer Engineering.
Executives have real-time visibility into customer outcomes, operational performance, and business health.
Manual reporting is automated, replaced by scalable, self-service analytics capabilities.
Strategic customer programs execute more effectively with improved data accessibility and transparency.
Cross-functional teams align around a common set of metrics and outcomes.
Data-driven insights influence customer success, operational excellence, and OCI growth initiatives.

Requirements

BS degree or equivalent in Computer Science, Engineering, Information Systems, Data Science, or related field; MS preferred.
7+ years in data engineering, analytics engineering, technical program management, software engineering, or related roles; 10+ years preferred.
Proven experience designing and maintaining large-scale data pipelines, ETL/ELT frameworks, and cloud data platforms.
Experience building BI solutions, executive dashboards, KPI frameworks, and operational reporting.
Advanced SQL skills with large-scale datasets; strong data modeling and warehousing expertise.
Cloud-native architectures, distributed systems, and OCI services; familiarity with Spark, Kafka, Airflow, Databricks, Snowflake, BigQuery, or OCI equivalents.
Experience with BI tools such as Oracle Analytics Cloud, Tableau, Power BI, or Looker.
Data governance, data quality, metadata management, and observability practices; self-service analytics and semantic data models.
Proven ability to work with enterprise customers and strategic cloud initiatives; strong written and verbal communication skills.

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1mo ago

Senior Data Engineer - Senior Manager

PRICE WATERHOUSE COOPERS Miami, FL

Miami, FL

1mo ago Closed

$124k - $280k/yr Full time Manager Senior Analytics

This position is no longer accepting applications (closed Aug 7, 2026).

Job Description

PricewaterhouseCoopers (PwC) invites a Senior Data Engineer – Senior Manager to lead data engineering initiatives within Technology Consulting in a Miami, FL onsite role. The position leverages data and analytics to deliver strategic client insights and guides teams through complex problem solving. Requirements include a Bachelor's degree and a minimum of six years of experience, with a salary range of USD 124,000 to 280,000 per year.

Responsibilities

Develop innovative solutions to optimize business performance and strengthen competitive advantage, including roadmap development.
Apply advanced analytics to support client operations and strategic goals, leveraging AWS data engineering and Redshift.
Build and maintain data pipelines and architectures to enable business intelligence, utilizing DataStage and ETL processes.
Implement data visualization capabilities to deliver actionable insights and improve client outcomes with SQL Server and DB2.
Collaborate with stakeholders to identify data challenges and opportunities, including managed services and service level agreements.
Coach and motivate teams to tackle complex problems and deliver high-quality results.
Apply systems thinking to uncover root issues and opportunities within client projects, including workload orchestration and scheduling.
Validate outcomes with clients and incorporate feedback to refine solutions, focusing on CSAT and performance tuning.
Lead teams through ambiguous and challenging situations with composure and sound judgment.

Requirements

Bachelor's degree required.
Minimum of six years of experience.
Location: onsite in Miami, Florida.

Technologies

AWS
Redshift
DataStage
SQL Server
DB2
Python
Java
QlikView
Oracle BI

Benefits

Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave

What Sets You Apart

Preference for at least one of the following fields of study: Computer and Information Science; Computer and Information Science & Accounting; Economics; Economics and Finance; Economics and Finance & Technology; Operations Management/Research; Statistics; Engineering.
Demonstrated expertise in data architecture development and data pipeline management.
Experience using Python and Java for complex data analysis and visualization.
Proficiency with business intelligence tools such as QlikView and Oracle BI.
Experience leading strategic questioning and stakeholder engagement initiatives.
Ability to apply systems thinking to identify underlying problems.
Capacity to direct teams through complex and ambiguous situations.

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1mo ago

Managed Services - Senior Data Engineer - Senior Manager

PRICE WATERHOUSE COOPERS Montpelier, VT

Montpelier, VT

1mo ago Closed

$124k - $280k/yr Full time Manager Senior Analytics

This position is no longer accepting applications (closed Jul 21, 2026).

Job Description

Senior Data Engineer - Senior Manager role at PwC in Montpelier, VT (onsite) offers an opportunity to lead data engineering initiatives for clients, with a salary range of USD 124,000 to 280,000 per year.

Responsibilities

Develop innovative solutions to optimize client performance and secure a competitive edge, including roadmap and solution design.
Apply advanced analytics to support client operations and strategic objectives, with a focus on AWS data engineering and Redshift.
Build and maintain data pipelines and architectures to enable business intelligence efforts, using DataStage and ETL processes.
Implement data visualization capabilities to deliver actionable insights, leveraging SQL Server and DB2.
Collaborate with stakeholders to identify data challenges and opportunities within managed services and service level agreements.
Coach and motivate teams to solve complex problems and deliver high-quality results.
Apply systems thinking to reveal underlying issues and opportunities within client projects, including workload orchestration and scheduling.
Validate outcomes with clients and incorporate feedback to refine solutions, focusing on CSAT and performance tuning.
Lead teams through ambiguous and challenging situations with composure and sound judgment.

Requirements

Bachelor's degree required
Minimum 6 years of relevant experience

Technologies

AWS
Redshift
DataStage
ETL
SQL Server
DB2
Python
Java
QlikView
Oracle BI

Benefits

Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave
Annual discretionary bonus

What sets you apart

Preference for at least one of the following fields: computer and information science; economics with finance or technology; operations management/research; statistics; or engineering
Demonstrated expertise in data architecture development and data pipeline management
Proficiency in Python and Java for complex data analysis and visualization
Strong experience with business intelligence tools such as QlikView and Oracle BI
Proven ability to lead strategic questioning and engage stakeholders effectively
Application of systems thinking to identify root problems and opportunities
Experience directing teams through complex and ambiguous situations

View full job page →

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