QuickSight Engineer Job at Augusta Hitech Soft Solutions (Remote)

Business Intelligence (BI) Engineer

We are looking for an experienced Business Intelligence (BI) Engineer to join ou...

Location

United States , Englewood, Colorado

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Proven experience in developing dashboards using Amazon QuickSight
Strong skills in creating calculated fields, parameters, and interactive reporting elements
Excellent communication abilities for gathering requirements and collaborating with stakeholders
Expertise in dashboard design and user interface/user experience (UI/UX) optimization
Ability to work effectively with engineering, analytics, and business teams
Must be onshore and able to pass federal background checks

Job Responsibility

Develop enterprise-level dashboards using Amazon QuickSight to deliver actionable insights
Collaborate with stakeholders to gather and translate business requirements into reporting specifications and prototypes
Design and prototype interactive dashboards, ensuring clarity, usability, and impactful storytelling
Work alongside Data Engineering teams to define required datasets and support semantic layer needs
Utilize QuickSight Q and AI features to enhance data interpretation and guide strategic decision-making
Create calculated fields, parameters, and variables to optimize reporting functionalities
Ensure dashboards integrate both qualitative and quantitative data for comprehensive analysis
Conduct user experience (UX) design for dashboards, focusing on layout and accessibility
Support government projects requiring eligibility for federal security clearance and strict vetting processes
Communicate effectively with cross-functional teams to ensure alignment and successful project execution

What we offer

medical, vision, dental, and life and disability insurance
eligible to enroll in our company 401(k) plan

Senior Operations Insight Analyst

Paymentology is the first truly global issuer-processor, giving banks and fintec...

Location

Norway , Oslo

Salary:

Not provided

Paymentology

Expiration Date

Until further notice

Requirements

4+ years in data analytics (fintech/banking/FS preferred)
Strong SQL
hands-on with Metabase or QuickSight (or similar modern BI)
Proven partnership with engineering to define data requirements and ensure analytical accuracy
understanding of data modelling for long-term usability
Exposure to AI/low-code for reporting automation
excellent communication and stakeholder management
Profile matches IC4 expectations for senior ICs delivering significant projects and mentoring informally

Job Responsibility

Query and model data with SQL
build insightful dashboards and reports in Metabase/QuickSight that track operational performance and SLAs
Define data requirements with data engineering/analytics
identify and close data quality and availability gaps affecting Ops decision-making
Design reporting structures and metrics that scale with business growth, enabling consistent performance tracking and accountability across the Ops group
Spot and size process-improvement and automation opportunities
pilot low-code/AI solutions to streamline reporting and accelerate insights
Serve as the COO’s analytical partner: produce actionable insights, recommendations, and narratives for leadership forums and initiative reviews
Act as a deputy to help drive COO-led improvement initiatives
track milestones, risks, and outcomes for key Ops projects

Fulltime

Data Engineer

Continuum is a Managed Service TV advertising platform - making the buying and e...

Location

United States , Denver

Salary:

105000.00 - 115000.00 USD / Year

Continuum Media

Expiration Date

Until further notice

Requirements

1-3 years with: BI platform development and/or data engineering
Scripting and programming in Python
SQL-based databases (Redshift, Athena, SQL Server, MySQL, etc.)
One cloud computing service (AWS, GCP, Azure, etc.)
Git version control (Bitbucket, GitHub, etc.)
Automated tests as a core part of development workflow (unit, integration, etc.)
Data visualization tools (Tableau, QuickSight, Power BI, etc.)
Working within an agile framework (Kanban, Scrum, etc.)

Job Responsibility

Engineer and own robust, scalable ETLs for cleaning and ingesting datasets
Build and maintain dashboards for use by internal stakeholders and external clients
Analyze and validate data assets, ensuring accuracy and reliability
Automate, modularize, and improve existing data ingestions while contributing to orchestration pipelines and expanding data quality assurance
Significantly improve and expand the company’s cloud-based, data platform
Implement and/or refine CI/CD, IaC, automated testing, agile, and reporting strategies for the department that can scale
Gather requirements from external clients and internal stakeholders and translate them into actionable bodies of work for the BI team
Collaborate with software developers and data scientists to deliver cross-departmental solutions
Communicate new features and lead trainings for internal users
Foster and embrace a healthy culture of collaboration and feedback, strengthening the team’s agile roots

What we offer

100% employer-paid premiums for medical, vision, dental, and disability insurance
Participation in employee profit-sharing bonuses (subject to company performance)
Unlimited PTO
Life Insurance, EAP, HSA with employer contribution, Pet Insurance option
Vacation Incentive Program
Hybrid In-Office/Remote Work Schedule
5% 401K company match
Continued education/career growth financial support
Annual paid volunteer day

Fulltime

Sr Platform Engineer, FinOps

We are looking for a Cloud FinOps Engineer to own and drive cost optimization ac...

Location

United States

Salary:

140000.00 - 190000.00 USD / Year

Recruitics

Expiration Date

Until further notice

Requirements

5+ years in Cloud Engineering, DevOps, or Platform roles, with a strong focus on cloud cost management
Deep experience in AWS with strong knowledge of pricing, service usage, billing structures, and enterprise discount programs
Strong hands-on expertise with Kubernetes (EKS), including autoscaling, node/pod tuning, and Vcluster architecture
Solid understanding of Apache Spark tuning and workload cost attribution
Experience with Airflow, Snowflake, and large-scale data pipelines
Familiarity with Java-based microservices in cloud environments and strategies to reduce resource bloat
Proficiency in Terraform, Python, and shell scripting for automation and reporting
Experience designing and managing FinOps dashboards (using QuickSight, Looker, Tableau, or similar)
Excellent cross-functional communication skills
comfortable partnering with Engineering, Finance, and Procurement

Job Responsibility

Lead cost optimization efforts across our AWS estate (EC2, EKS, S3, EBS, Lambda, RDS, etc.), delivering measurable savings and performance wins
Analyze and optimize Apache Spark jobs (EMR/EKS) - improve executor tuning, autoscaling, and job scheduling for efficiency
Partner with Data Engineering to optimize Airflow DAGs, reduce pipeline waste, and manage resource-intensive workflows
Reduce Kubernetes costs through node pool optimization, vcluster strategy, pod rightsizing, and non-prod automation
Implement and manage Savings Plans, Reserved Instances, and workload scheduling to maximize discount coverage
Audit and improve Snowflake usage patterns - warehouse sizing, query optimization, idle resource management
Collaborate with Finance to build accurate cloud cost allocation models, showback dashboards, and budget forecasting tools
Drive tagging enforcement, anomaly detection, and policy automation using tools like AWS CUR, Athena, QuickSight, or 3rd-party FinOps platforms
Advocate for and implement cost-conscious design patterns in collaboration with DevOps, SRE, and software engineers
Establish FinOps KPIs (e.g., cost per Spark job, cost per API call, efficiency scores) and drive continuous improvement

What we offer

Competitive salaries with growth incentives
Comprehensive health, dental, and vision insurance
#AnywhereAugust - We support remote work experiences to expand perspectives and personal growth
15 Vacation Days, 5 Flex Days, 5 Sick Days, and remote work options year-round
Fully paid parental leave for both parents
Summer Fridays from Memorial Day to Labor Day
Winter Recess between Christmas and New Years
Commuter and Parking Benefits through Wage Works
Eligible to contribute to your 401(K) Retirement Plan after six (6) months of employment
Employee Assistance Programs to support your day to day

Fulltime

Data Architect

Embark on an exciting journey into the realm of data engineering and architectur...

Location

India , Noida

Salary:

Not provided

3Pillar Global

Expiration Date

Until further notice

Requirements

Translate business requirements into data requests, reports and dashboards.
Strong Database & modeling concepts with exposure to SQL & NoSQL Databases
Strong data architecture patterns & principles, ability to design secure & scalable data lakes, data warehouse, data hubs, and other event-driven architectures
Expertise in designing and writing ETL processes in Python / Java / Scala
Understanding of Hadoop framework - Exposure to PySpark, Spark, Storm, HDFS, Hive
Strong hands-on experience with either Databricks or Snowflake
experience with both is desirable.
Knowledge of Master Data management and related tools
Strong exposure to data security and privacy regulations (GDPR, HIPAA) and best practices
Skilled in ensuring data accuracy, consistency, and quality

Job Responsibility

Work closely with business leaders and information management teams to define and implement a roadmap on data architecture, data management, business intelligence or analytics solutions.
Define a reference architecture for our customers.
Support our clients to take control of their data and get value out of it.

Fulltime

Senior FinOps Engineer

We are looking for a Senior FinOps Engineer with hands-on experience in Cloud Co...

Location

India , Bangalore

Salary:

Not provided

ResMed

Expiration Date

Until further notice

Requirements

BS/MS in Computer Science or equivalent experience
4+ years of professional experience in Cloud FinOps, IT Financial Management, or Cloud Cost Governance within an IT organization
4+ years of overall experience in Cloud Infrastructure Management, DevOps, Software Development, or related technical roles with hands-on cloud platform expertise
Hands-on experience with native cloud cost management tools (e.g., AWS Cost Explorer, Azure Cost Management, OCI Cost Analysis) and third-party FinOps platforms (e.g., Vantage, Cloudability, CloudHealth or CloudZero)
Proven experience working within the FinOps domain in a large enterprise environment (e.g., building and managing custom reports, dashboards, and financial insights)
Deep understanding of cloud financial management practices, including chargeback/showback models, cost savings and avoidance tracking, variance analysis, and financial forecasting
Practical experience with cloud optimization and governance practices such as anomaly detection, capacity planning, rightsizing, tagging strategies, and storage lifecycle policies
Skilled in leveraging automation to drive operational efficiency in cloud cost management processes
Strong analytical and data storytelling skills, with the ability to collect, interpret, and present complex financial and technical data to diverse audiences
Experience developing dashboards and metrics aligned with business goals and industry benchmarks

Job Responsibility

Prepare and deliver reports, presentations and KPIs on cloud spend performance versus plan and forecast for Finance, engineers, and leaders
Support the evaluation, implementation, and ongoing management of cloud consumption and financial management tools
Work closely with cross-functional stakeholders to understand their needs, align priorities, and build a clear, value-driven roadmap
Partner with engineering, product, and Finance teams to identify cost drivers, promote best practices for efficient cloud consumption, and implement savings opportunities
Lead cost optimization initiatives, including analyzing and recommending savings plans, reserved instances, and right-sizing opportunities across CSPs (e.g., AWS, Azure, OCI), SAAS (e.g., Datadog, Snowflake) & GenAI
Collaborate with the other Platform teams to ensure effective tagging strategies and alerting frameworks are deployed and maintained at scale
Support forecasting by partnering with Finance and engineering teams to understand demand plans and proactively manage capacity and spend
Build custom integrations and data pipelines connecting cloud billing APIs, FinOps platforms, and internal systems to enable real-time cost visibility and automated alerting
Drive a culture of optimization by translating financial insights into actionable engineering recommendations, promoting cost-conscious architecture, and leveraging automation for resource optimization
Leverage Generative AI tools to enhance FinOps automation, streamline reporting, and improve team productivity across forecasting, optimization, and anomaly detection

Fulltime

Data Analyst

We are seeking a motivated and analytical Data Analyst to support product qualit...

Location

United States , Philadelphia

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Communication Studies, Business, Data Analytics, or a related field
1–2 years of experience in data analysis, preferably in a product, engineering, or quality‑focused environment
Proficiency in SQL, Python, or similar data tools
Experience using business intelligence or visualization tools such as Tableau, Power BI, or Amazon Quicksight
Strong communication skills, with the ability to translate complex data into clear, actionable, executive‑friendly insights
Experience working cross‑functionally and managing multiple priorities in a fast‑paced environment

Job Responsibility

Analyze device performance data, reliability KPIs, telemetry metrics, and CSAT feedback to identify improvement opportunities
Support key initiatives related to error tracking, ticket resolution trends, and release impact assessments
Partner with stakeholders across engineering, operations, and customer experience to align priorities and ensure timely delivery of insights
Create compelling presentations and executive‑level decks to communicate data findings and recommendations
Participate in working groups tackling high‑impact reliability issues, contributing to root cause analysis and solution tracking
Assist in expanding global data capabilities through improved data access, partnerships, and data enablement initiatives

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

Business Intelligence Engineer

This position serves as the critical link between data engineering capabilities ...

Location

United States , Seattle, WA; San Francisco, CA; Arlington, VA; Oakland, CA; Washington, DC

Salary:

120000.00 - 180000.00 USD / Year

JLL

Expiration Date

Until further notice

Requirements

Advanced SQL skills with proven ability to design efficient and maintainable data models
Experience building data pipelines using AWS services including S3, Glue, and Lambda
Proficiency with BI tools, particularly Quicksight, with working knowledge of Python for data transformation and analysis
Understanding of data quality methodologies and implementation approaches
Demonstrated ability to translate business requirements into technical solutions with cross-functional team experience
Strong analytical thinking with ability to identify patterns and insights in complex datasets
Understanding of sustainability concepts and metrics including carbon accounting, water stewardship, and waste management
Candidates must be authorized to work in the United States without sponsorship

Job Responsibility

Own end-to-end data solutions for assigned GCS program areas while developing deep subject matter expertise in sustainability domains
Design and implement scalable data models using Amazon's internal tools and AWS technologies while building interactive Quicksight dashboards
Create automated data pipelines that reduce manual effort and increase data reliability with robust data quality checks and monitoring
Serve as primary data point of contact for assigned GCS programs and regions while collaborating with program SMEs to prioritize objectives
Translate complex business requirements into technical specifications and educate stakeholders on data capabilities
Regularly evaluate and optimize existing data solutions while identifying opportunities to scale successful approaches across programs
Stay current with emerging data technologies and sustainability analytics trends for continuous improvement

What we offer

401(k) plan with matching company contributions
Comprehensive Medical, Dental & Vision Care
Paid parental leave at 100% of salary
Paid Time Off and Company Holidays
Early access to earned wages through Daily Pay

Fulltime

QuickSight Engineer

Augusta Hitech Soft Solutions

Location:
India , Remote

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 16, 2026

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February 16, 2026