Senior Cloud Data Engineer - Remote (Fabric/Lakehouse)

Data Engineer – Parable Associates At Parable Associates, we specialize in transforming complex data into clear, actionable insights for our clients across various industries. We’re not just another business intelligence company; we’re storytellers, turning data into meaningful narratives that empower organizations to make informed decisions faster. Our innovative approach, combined with a passion for results, makes us the trusted partner for organizations seeking to optimize their data operations and unlock new insights. ROLE Are you excited about building the future of data solutions and leveraging cutting‑edge cloud technologies? At Parable Associates, you’ll be at the forefront of developing and optimizing data pipelines that drive impactful insights for our clients. You'll do more than just develop data solutions—you’ll be a key partner in shaping how organizations utilize their data to drive innovation and success. In this role, you'll work closely with both internal teams and clients to design and implement cloud‑based data architectures using Microsoft Fabric and similar cloud platforms. You’ll guide the process from data ingestion to transformation and ensure data quality, governance, and efficiency. If you're passionate about solving complex challenges, have a strong understanding of cloud data platforms, and are eager to make an impact, we’d love to have you join our team.

RESPONSIBILITIES

Design, develop, and maintain scalable, secure, and high‑performing data pipelines using Microsoft Fabric, Azure Data Factory, PySpark, and Databricks. Create and manage data pipelines to ingest, process, and transform data from various sources into the lakehouse. Collaborate with data architects, business analysts, and other stakeholders to understand data requirements and translate them into scalable solutions. Build and optimize data models and data warehousing solutions to support business intelligence and advanced analytics, implementing techniques such as dimensional modeling, normalization, creating surrogate keys, utilizing Slowly Changing Dimensions, partitioning, and aggregation. Perform data transformation and pipeline orchestration using Fabric Notebooks to cleanse and prepare data for report consumption. Implement and maintain security measures to protect data assets. Ensure data quality, integrity, and governance across all stages of the data lifecycle. Optimize performance of data ingestion, transformation, and loading processes. Proactively identify areas for process improvement, automation, and cost efficiency within the data pipeline infrastructure. Provide technical mentorship to junior engineers and collaborate on the adoption of best practices in data engineering. Maintain comprehensive documentation of data systems, processes, and workflows.

RESULTS

Reliable, efficient data pipelines that deliver clean, timely data to stakeholders. Scalable, high‑performance data platforms that meet client requirements for analytics and reporting. Streamlined data workflows that improve time‑to‑insight for business intelligence initiatives. High client satisfaction through seamless data solutions that solve complex challenges.

REQUIREMENTS

5+ years of experience in data engineering or a similar role, with a focus on cloud‑native technologies. Experience in Microsoft Fabric or Azure Data Factory, with hands‑on experience designing data pipelines. Experience using PySpark in big data processing and transformation. Strong understanding of data modeling, ETL and ELT processes, and building data warehousing solutions. Strong knowledge of modern data architecture principles and best practices. Excellent problem‑solving skills with the ability to troubleshoot complex data challenges. Bachelor’s degree in computer science, information systems, or a related field. Motivated, self‑starter who can work independently and take initiative to drive projects forward.

PREFERRED

Experience with cloud platforms such as Microsoft Azure. Familiarity with Power BI for data visualization and reporting. Knowledge of data governance and security best practices. Analytics Engagement Manager – Parable Associates Parable Associates is seeking an Analytics Engagement Manager to lead healthcare analytics partnerships across our client portfolio. This full‑time, remote role is ideal for someone who thrives at the intersection of client strategy, analytics delivery, and team leadership.

POSITION OVERVIEW

Parable Associates creates reporting‑based solutions that help healthcare organizations achieve their full operational and financial potential. We specialize in Healthcare Revenue Cycle and operational analytics, including scheduling, registration, claims processing, collections, and accounts receivable management. Our solutions help clients reduce financial risk and improve key metrics such as AR Days, Denials, Bad Debt, and Productivity by turning complex data into clear, actionable insight.

ROLE AND RESPONSIBILITIES

Serve as the primary point of contact and strategic partner for assigned client analytics engagements. Own client analytics roadmaps, ensuring alignment with business objectives, operational priorities, and available data. Translate client goals and questions into clear analytics requirements and prioritized workstreams. Partner with BI Developers and Data Engineers to monitor solution design, validate approach, and ensure delivery quality. Review dashboards, datasets, and reporting outputs for accuracy, clarity, and business relevance prior to client release. Lead recurring client meetings focused on performance trends, insights, and recommendations. Proactively identify opportunities to expand analytics value through new metrics, workflows, or reporting enhancements. Support investigations into metric changes, data anomalies, and performance shifts, coordinating technical analysis as needed. Ensure consistent documentation of metrics, definitions, assumptions, and reporting logic. Manage scope, priorities, and expectations across ongoing analytics engagements. Coordinate internally to ensure delivery timelines, resource allocation, and quality standards are met. Build strong, trusted relationships with both technical and non‑technical client stakeholders. Contribute to continuous improvement of Parable’s analytics frameworks, engagement models, and best practices.

IDEAL CANDIDATE EXPERIENCE

REQUIREMENTS

Minimum of 5 years of experience in analytics, business intelligence, consulting, or a related role. Experience managing or leading client‑facing analytics engagements or long‑term client relationships. Strong understanding of BI concepts including datasets, metrics, dashboards, and data modeling. Strong knowledge of Power BI and SQL sufficient to review work, guide teams, and support investigations. Experience translating business questions into analytics requirements and actionable insights. Healthcare experience, preferably within revenue cycle, clinical operations, or financial analytics. Strong communication skills with the ability to explain complex data concepts clearly. Ability to manage multiple priorities across clients in a remote work environment. Comfortable working with both executive stakeholders and technical delivery teams. Authorization to work in the US without sponsorship.

PREFERRED

Prior experience in analytics consulting or managed services. Familiarity with Power BI best practices including model design, performance optimization, and governance concepts. Experience contributing to analytics roadmaps, KPI frameworks, or metric libraries. Exposure to financial modeling, forecasting, or operational performance management. Experience mentoring or guiding junior analysts or developers. Competitive compensation including base salary and bonus potential. Health and dental insurance, 401(k). Fully remote work environment. Professional development support including analytics and Power BI certifications.

JOB TYPE

Full‑time, Remote/Hybrid (2/3 split)

LANGUAGE REQUIREMENT

Proficient in English with strong communication and documentation skills.

EXPERIENCE LEVEL

Intermediate to Advanced 5+ years of experience.

TECHNICAL REQUIREMENTS

Expertise in SQL, data engineering, data warehousing, data integration, and data modeling best practices. Experience with error handling and error logging. Proficiency with ETL tools such as Azure Data Factory and SSIS. Experience with API data integration. Knowledge of Power Automate and Power Apps preferred. Experience with Power BI or other business intelligence tools is a plus.

RESPONSIBILITIES

Design, develop, and maintain robust ETL processes. Ensure data accuracy and integrity across databases and reporting systems. Collaborate with stakeholders to understand data requirements and deliver solutions. Implement data models and optimize data retrieval processes. Create dashboards and reports for business intelligence insights. Address client issues with innovative problem‑solving and best‑practice solutions. Manage time effectively to meet project deadlines in a remote work environment. Capture requirements, design technical solutions, develop and test reports, and maintain the health of BI environments.

SKILLS

Excellent time management and organizational abilities. Independent self‑starter with a proactive approach to tasks. Strong problem‑solving skills with a creative mindset. Capable of working autonomously and as part of a small team.

EDUCATION

Bachelor's Degree in Computer Science, Mathematics, Healthcare Management, Engineering, or equivalent. 5+ years of relevant experience in lieu of a degree. #J-18808-Ljbffr SCALIS