Job ID: JOB_ID_9449
About the Role:
We are seeking a Senior Data Engineer / Tech Lead to serve as the technical anchor for a squad of junior and mid-level data engineers. This role focuses on our AWS Lakehouse initiative, where you will work within a larger initiative team, alongside senior leaders, architects, and domain experts, owning the day-to-day engineering execution for your squad’s workstream.
What You’ll Do:
- Hands-On Engineering: Be an active, high-output contributor by building AWS Glue pipelines, writing transformation logic, implementing data models, and debugging complex issues.
- Implement harmonization and modeling workstreams using open table formats (Apache Iceberg or Delta Lake), ensuring correct partitioning, schema evolution, and data quality patterns.
- Build and optimize consumption layer pipelines serving analytical workloads via Athena.
- Apply engineering best practices across your work: testing, documentation, code modularity, and performance awareness.
- Technical Guidance for the Squad: Serve as the go-to technical resource for junior engineers, engaging in pair programming, answering implementation questions, and conducting code reviews with a teaching mindset.
- Conduct thorough, constructive code reviews that raise the quality bar and accelerate learning.
- Flag technical risks or blockers to initiative leads and architects early, providing context and proposed options.
- Delivery & Collaboration: Translate workstream requirements, defined by initiative leads, into well-scoped engineering tasks for the squad.
- Keep delivery on track at the squad level: identify dependencies, surface blockers, and coordinate with peers across the broader initiative team.
- Participate actively in technical discussions, contributing implementation-level insight to broader initiative planning.
Required Qualifications:
- 5+ years of data engineering experience, with a track record of delivering complex pipelines and data models in production.
- Strong, hands-on experience with AWS Glue (authoring, scheduling, and troubleshooting ETL jobs at scale).
- Deep working knowledge of core AWS data services: S3, Athena, and the broader AWS data ecosystem.
- Practical experience with open table formats (Apache Iceberg or Delta Lake), including partitioning, schema evolution, and compaction.
- Grounding in data modeling concepts: dimensional modeling or similar approaches applied in a lakehouse or data warehouse context.
- Experience informally leading or mentoring junior engineers through code review, pairing, or task guidance.
- Strong problem-solving instincts: able to work through implementation complexity independently and know when to escalate.
- Clear communicator: comfortable asking good questions, giving precise technical feedback, and flagging issues early.
Preferred Qualifications:
- Familiarity with AI-assisted development tools (e.g., GitHub Copilot, Amazon CodeWhisperer, or similar) and a genuine openness to integrating them into day-to-day engineering workflows.
- Experience with Apache Spark (via AWS Glue or EMR) for large-scale data processing.
- Familiarity with streaming data patterns (Flink, Kafka, Kinesis) and how they integrate with lakehouse architectures.
- Exposure to CI/CD practices for data pipelines.
- AWS certifications (e.g., Data Engineer – Associate, Solutions Architect).
Additional Roles Mentioned:
MDM Architect (Master Data Management Architect)
Location: Erie, PA – (Remote, with occasional visits to Client office)
Preferred Experience & Skills:
- Hands-on experience designing and implementing enterprise data architectures that promote data quality and consistency.
- Proficiency with Master Data Management (MDM) tools such as Informatica MDM, Reltio, SAP MDG, or IBM InfoSphere.
- Strong understanding of data integration, governance, metadata management, and data stewardship principles.
- Experience with data modeling, APIs, ETL design, and modern cloud data platforms (AWS, Azure, or similar).
- Proven ability to collaborate across disciplines to define strategy and deliver scalable data solutions.
- Familiarity with AWS services such as S3, Glue, or Redshift is a plus.
What Makes You Stand Out:
- You are a strategic thinker with a builder’s mindset. You connect architecture vision with practical delivery, creating data systems that drive measurable business value. You balance innovation and structure, ensuring ERIE’s data assets are both trusted and transformative.
- You stand out because you: Combine deep MDM expertise with practical cloud architecture experience.
- Have a track record of integrating on-premises and cloud data environments.
- Foster strong partnerships between IT and business, translating data strategy into real outcomes.
- Bring curiosity, adaptability, and a continuous improvement mindset to every challenge.
Duties and Responsibilities:
- Serves as the single point of accountability for the architecture function to portfolio owner customers and technology leadership.
- Provides architectural guidance on initiatives of moderate to high complexity across multiple enterprise portfolios, while managing multiple customers with differing priorities on the organization’s most strategic initiatives.
- Provides full-stack architectural options that enable business objectives while ensuring long-term technology goals for all aspects of a solution.
- Collaborates with team members for technical validation during design and planning phases.
- Informs aspects of portfolio maturity regarding technology and ability to achieve target technology alignment, while facilitating a minimum viable architecture.
- Monitors large-scale project execution and considers and interprets architectural tradeoffs occurring during delivery. Escalates for appropriate context sharing and decision making, as necessary.
- Proactively enables portfolio owners to see technical debt clearly, provides appropriate context to inform plans to achieve elimination of technical debt in a comprehensive plan across multiple portfolios, delivery teams, programs, or projects.
- Serves as a mentor for other members of the team, builds an environment for analysts, engineers, architects, and other technology leaders to grow and have high impact.
- Directs and drives closure on investment decisions within the enterprise while also identifying cross-portfolio impacts on significant delivery initiatives.
- Serves as a subject matter expert for multiple portfolios, providing actionable recommendations via consultation services, adapted to stakeholder context, to technology leadership and organizational stakeholders.
- Collaborates with architects, portfolio owners, and other job families to achieve an enterprise view; provides project and program level views to project and program teams in context of enterprise strategies and directions with light supervision.
- Supports business agility through agile engagement across multiple delivery operations.
- Interprets business needs, assesses solution choices, applies technology, and provides project guidance within a long-term enterprise lens.
Title: Pega Senior Business Analyst
Location: Remote
Duties & Responsibilities:
- Possess sound knowledge of Pega platform software, functional design, and frameworks to be able to provide Pega solutioning expertise to stakeholders.
- Experience in process modeling with in-depth knowledge on BPMN specifications.
- Lead the business team in gathering requirements and choosing the best way to implement requirements leveraging Pega.
- Understand business process and business requirements and translating them to complete requirements artifacts such as user stories.
- Help to ensure that the requirements management and facilitation best practices are adhered to, including management of artifacts through traceability, version control, and change control.
- Help to document business rules and assist with work type structure from the perspective of the business needs.
- Design rules and flows and assist with the draft user interface and draft process flow development.
- Effectively communicate with business and delivery teams to deliver user interface requirements using UI mock-ups or wireframes.
- Understand interface/integration technologies and define the requirements.
- Demonstrate strong problem-solving and analytical skills.
Minimum Qualifications:
- Pega business analysis experience (10+ yrs BA).
- Experience working with Agile methodology.
- Prior hands-on work experience with Pega, Claims finance and SCE exp.
- Healthcare Industry Knowledge.
- Large-scale design of business solutions in Pega.
- End-to-end claims lifecycle from a business process standpoint.
- Post claim adjudication (general reprocessing, disputes, OPR).
Preferred Qualifications:
- Certified Pega Business Architect.
- Process Modelling and Process Improvement Tool Experience.
Job Title: Pega Lead Decisioning Architect
Location: Irving TX (Hybrid)
Duration: 12+ Months Contract
Job Description:
- Must have LDA certification.
- Must have 10+ years hands-on experience.
- Must have past Telecom Experience.
- Experience in Pega Data Pipelines, Gen AI and AI Blueprint and use of Agility Tools.
- Experience at Verizon on CDH implementing NBX/NBA is a plus.
Special Requirements
N/A
Compensation & Location
Salary: $70 – $90 per year (Estimated)
Location: Arden Hills, MN
Recruiter / Company – Contact Information
Recruiter / Employer: FusionGS
Email: dev@fusiongs.com
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