SSIS

SSIS Engineer Jobs

10 jobs found

Today

Sr. Clinical Informatics Data Engineer

Mingle Health Remote 🌍 Remote

Remote

Today

Full time Senior Claims Data Pipelines Clinical Data

Apply Now

Job Description

Mingle Health seeks a Senior Clinical Informatics Data Engineer to translate CMS specifications into robust database structures for analysis and quality measures. The role involves building data pipelines, ensuring data quality, and supporting CMS submissions and Medicare reporting for healthcare clients. This position is remote and collaborative within a distributed team.

Responsibilities

Understand, interpret, and codify CMS specifications for the Quality Payment Program (QPP)
Analyze accuracy and performance of claims and clinical data using MS SQL and related tools
Utilize internal web based applications to provide data mapping for claims and clinical datasets
Translate measure specifications into database objects used to calculate quality measures
Provide consultative support to assigned clients, including health practices and hospital systems, to facilitate successful CMS submissions
Develop ad hoc SQL reports to support client consulting engagements
Validate data load processes into clinical data repositories
Collaborate with colleagues to document data needs and metric definitions
Perform quality assurance on data integration processes and repository metrics
Operate effectively within a distributed, remote team environment and contribute to both client facing and internal development projects

Requirements

Minimum 5 years of experience in healthcare or clinical informatics
Experience with medical or clinical information systems used by clients, such as EHR or Practice Management systems
Familiarity with medical processes and terminology, physician office workflows, or billing including Medicare and other payers
Experience with Quality Reporting and related programs
Understanding of MIPS and APP programs
Ability to review, interpret, compare, and edit clinical documentation, such as CMS Measure Specifications Manual for Claims and Registry Reporting
Capacity to listen to client requirements and translate them into actionable solutions
Guidance for clients to construct queries, extract data, assess quality, and continually improve data quality, flow, and metrics
Strong programming skills with proficiency in SQL
Ability to develop, execute, and evaluate Microsoft SQL queries
Experience building and optimizing data pipelines
Develop pipelines to transform raw data into reliable information for analysis
Build data migration scripts and procedures using SSIS and/or Python
Facilitate importing third party data into data structures using database, programming, and ETL tools to maintain efficient loading processes
Investigate exceptions in data migrations
Contribute to planning, analysis, design, and development of data management, data integration, data warehouse, and BI solutions
Ability to analyze large datasets in detail to resolve issues, including reading error logs, executing stored procedures, and understanding data structures
Basic understanding of best practices for effective database design and maintenance
Comfort with a rapidly changing environment, incomplete documentation, and fluid roles
Strict adherence to HIPAA privacy and security policies

Technologies

SQL, SQL Server, SSIS, Python

Location

Remote

View full job page →

2d ago

BI & Analytics Analyst/Data Engineer

JSSA Rockville, MD

Rockville, MD

2d ago

Full time Analyst Analytics Azure Data Lake

Apply Now

Job Description

JSSA in Rockville, MD is seeking a hybrid BI and Analytics Analyst/Data Engineer to lead the design, development, and management of data and analytics solutions. The role spans end-to-end analytics from SQL Server data warehouse design to self-service Power BI reporting, partnering with IT business teams and data engineers to convert raw data into trustworthy, actionable insights. This position emphasizes data quality, governance, and enabling stakeholders to make informed care decisions.

Responsibilities

Collaborate with IT business partners and operational leaders to design analyses that reveal opportunities to improve care, assess adherence to clinical best practices, and quantify outcomes.
Help ensure agency data repositories deliver consistent, reusable data by working with key staff to establish, implement, and guide standards and best practices.
Promote best-practice knowledge to business stakeholders to enable self-service analytics rather than IT-driven development.
Own self-service reporting datasets, including DAX measures, data models, and row-level security.
Translate business requirements into clear analytical deliverables, manage stakeholder expectations, and iterate based on feedback.
Monitor report usage and data quality, proactively identifying and resolving issues.
Document data definitions, metric logic, and report lineage to support a data-literate culture within the agency.
Leverage technical tools to query, manipulate, and summarize data from multiple sources.
Assist in designing, developing, maintaining, and updating databases to meet department and organizational needs.
Design and build star schema data warehouse objects in SQL Server, including fact tables, dimension tables, and aggregates.
Develop and maintain T-SQL stored procedures, ETL pipelines, and staging-to-DWH data loads.
Create and own source-to-target mapping documentation for new data domains.
Integrate data from source systems.
Contribute to data quality, pipeline reliability, and warehouse performance optimization.
Support the adoption of self-service analytics by building clean, well-documented datasets.
Document current data architecture, define logical and physical data structures, and establish the agency data blueprint.
Manage and support the data warehouse solution (Wherescape RED), SQL Server, and related components.
Define operational monitoring and alerting tools to ensure end-to-end delivery of trusted, quality data from sources to consumption.
Establish best-practice standards and processes for data automation, orchestration, and transformation.
Identify, design, implement, and manage a master data management solution for client and employee subjects, collaborating with stakeholders to define data quality standards and operational DQ processes.

Requirements

Bachelor’s degree is required; a Master’s degree is highly preferred.
5-7+ years of experience in a BI, analytics, or data engineering role.
Strong proficiency in SQL Server and T-SQL, including stored procedures, window functions, and query optimization.
Hands-on experience building and maintaining Power BI reports and semantic models (DAX, Power Query).
Hands-on experience with Wherescape OLAP solutions; familiarity with Azure Analysis Services, Azure Data Lake, and Azure Synapse Analytics is welcome.
Experience integrating or working with EHR data (reports, APIs, or data exports).
Familiarity with star schema and dimensional modeling concepts; Kimball methodology is a plus.
Python experience for data wrangling, automation, or pipeline scripting.
Experience with Microsoft Master Data Services (MDS), including defining entities and business rules.
Experience with Microsoft Data Quality Services (DQS) and SQL Server Integration Services (SSIS).
Comfortable working across the full analytics stack from raw data to end-user reports.
Strong communication skills, with the ability to explain data concepts clearly to non-technical stakeholders.
Advanced proficiency with Microsoft Office tools (Power BI), SQL, and experience with EMR systems (hospice, home care, and/or mental health) is desirable.

Technologies

SQL Server
T-SQL
Power BI
DAX
Power Query
Wherescape RED
Azure Analysis Service
Azure Data Lake
Azure Synapse Analytics
Microsoft Master Data Services (MDS)
Microsoft Data Quality Services (DQS)
SQL Server Integration Services (SSIS)

Benefits

Competitive salary
Benefits package
Healthy work-life balance
Collaborative team environment
Opportunities for personal growth and professional development

View full job page →

13d ago

Senior Data Engineer

Delta Dental Alpharetta, GA

Alpharetta, GA

13d ago

$160k - $165k/yr Full time Senior Analytics Azure

Apply Now

Job Description

Delta Dental is seeking a Senior Data Engineer in Alpharetta, GA on a hybrid schedule. This role focuses on designing, building, and maintaining enterprise data engineering solutions, including ETL and ELT pipelines, data warehouse and data lake architectures, governance, and analytics. You will work with Azure, SAP Data Services, Oracle, and SQL Server, bringing at least five years of relevant experience and the ability to appear in the office as required. The position offers a compensation range of USD 160,056 to 165,056 per year.

Responsibilities

Design, develop, and implement enterprise data engineering solutions to support business processes and analytical needs.
Collaborate with Business Analysts, Architecture teams, and cross-functional stakeholders to gather requirements and translate them into scalable data models, cloud data pipelines, and integration frameworks.
Build data integration processes with SAP Data Services, SSIS, and Azure Data Factory to extract, transform, and load structured and unstructured data across heterogeneous systems.
Develop and optimize data processing platforms using Microsoft Azure services, including Azure Data Factory and Azure SQL Database.
Design end-to-end ETL and ELT pipelines for ingestion, transformation, and analytical data preparation; implement complex SQL logic, stored procedures, packages, and functions in Oracle and SQL Server.
Develop and maintain data warehouse and data lake architectures using Star and Snowflake schema designs.
Perform data profiling and data quality checks, enforcing governance standards to ensure integrity and compliance across the data lifecycle.
Prototype solution designs for review with business and architecture teams; evaluate and select cloud technologies for ingestion, transformation, reporting, visualization, and analytics.
Design and develop dashboards, KPIs, and visualizations using Power BI to support enterprise reporting needs.
Automate manual workflows using Python and Unix shell scripting.
Troubleshoot data pipeline failures, optimize performance, and resolve data-related issues to minimize business disruption.
Participate in data architecture discussions, contributing to integration strategies and modernization efforts.
Prepare technical design documents, mapping specifications, workflow diagrams, and solution architectures; ensure designs align with security and organizational standards.
Support all phases of the Software Development Lifecycle, including requirements analysis, design, development, testing, deployment, and production support.
Mentor junior team members, sharing best practices, coding standards, and cloud data engineering methodologies.
Must reside within a reasonable commuting distance from headquarters and be able to appear in the office as required.

Requirements

Bachelor's degree or foreign equivalent in Computer Science, Electrical Engineering, or a related field, plus five years of progressive post-baccalaureate experience in ETL development or data engineering roles.
Experience developing and optimizing entity relationship models using ERWIN and crafting advanced SQL queries to support analytics.
Designing, developing, and tuning enterprise database schemas in Oracle and Microsoft SQL Server, including tables, views, stored procedures, indexing strategies, and performance tuning.
Building ETL and data integration workflows with SAP Data Services, SSIS, and Azure Data Factory, including pipelines, datasets, triggers, integration runtimes, and source-to-target mapping documents.
Designing dimensional data models for OLTP and OLAP using Star and Snowflake schemas, applying normalization and denormalization practices.
Developing automation scripts with Python and Unix shell scripting to streamline ingestion, transformation, validation, and cloud analytics processes.
Creating interactive dashboards and reports with Power BI for operational and analytical insights.
Enforcing data integrity, accuracy, and compliance via data quality checks, validation rules, and governance frameworks.
Implementing data governance and quality processes, including profiling, reconciliation checks, error handling, and anomaly detection.
Designing and managing scheduling and workflow automation using ADF triggers, Jenkins, SQL Server Agent, or TIDAL to orchestrate ETL and data pipelines.
Using version control systems such as GitHub or SVN to manage source code and maintain consistency across ETL pipelines and cloud resources.
Experience across all phases of the Software Development Lifecycle, including requirements gathering, design, development, documentation, testing, deployment, and production support.
Ability to perform troubleshooting, root cause analysis, and performance optimization of SAP BODS jobs, SQL queries, ADF pipelines, and cloud-based data transformations.

Technologies

SAP Data Services, SSIS, Azure Data Factory, Azure SQL Database
Oracle, Microsoft SQL Server, Power BI
Python, Unix Shell scripting
ERWIN, GitHub, SVN, Jenkins, SQL Server Agent, TIDAL
SAP BODS, Star schema, Snowflake schema

Benefits

Competitive base pay plus incentive compensation
401(k) with robust matching and additional contributions
Comprehensive medical and prescription coverage
100 percent employer-paid dental and vision benefits
Wellbeing program with meaningful financial incentives
Generous paid time off, plus 12 paid holidays and your birthday off
Culture focused on growth and learning with career development, tuition reimbursement, and a recognition program
Family support including adoption assistance, fertility services, and care for children, elders, and pets
Opportunities for social responsibility and volunteer involvement
Employee discount program

View full job page →

18d ago

Data Engineer II

Inland Empire Health Plan Rancho Cucamonga, CA

Rancho Cucamonga, CA

18d ago

$104k - $138k/yr Full time Analytics Azure Data Factory Azure Databricks

Apply Now

Job Description

Hybrid work, competitive compensation, and a mission-driven culture await. This Data Engineer II role at Inland Empire Health Plan blends hands-on data engineering with cross-functional collaboration to enhance data reliability, accessibility, and analytics across the enterprise. The position offers a salary range of $104,041.60 to $137,841.60 per year, a hybrid schedule in Rancho Cucamonga, CA, comprehensive medical, dental, and vision coverage, retirement benefits, and ample opportunities for professional development. You will partner with teams to design scalable data warehouse solutions that empower data-driven decision making for IEHP and its stakeholders.

Competitive salary
Hybrid schedule
State-of-the-art fitness center on site
Medical insurance with dental and vision
Life, short-term, and long-term disability options
Career advancement opportunities and professional development
Wellness programs that promote a healthy work-life balance
Flexible Spending Account for Health Care and Childcare
CalPERS retirement
457(b) option with a contribution match
Paid life insurance for employees
Pet care insurance

Responsibilities

Design and develop data warehouse ETL solutions using SQL Server Integration Services (SSIS), Azure Data Factory, Synapse Analytics, Azure Databricks, and PySpark ETL.
Develop and implement data collection processes to support the data warehouse.
Source data from legacy systems to feed a centralized data warehouse and reporting platform.
Deliver technical solutions to meet Data Warehouse, BI and Analytics requirements.
Collaborate with informaticists and analysts to translate analytic requirements into technical designs.
Contribute to data integration strategies and visions.
Create and maintain scalable data pipeline architectures based on microservices, aligned to platform and application needs.
Partner with the Data Engineering, BI & Analytics teams, the Data Warehouse Architect, and the Data Systems Architect to craft data and analytics solutions that improve usability, completeness, and accuracy of enterprise data.
Engage with stakeholders including Executives, Product, Data and Design teams to address data infrastructure needs and data-related technical issues.
Analyze user requirements and translate them into database requirements, implementing them in database code.
Provide detailed analysis of data issues, data mapping, and automation to enhance data quality.
Assemble large, complex data sets that meet functional and non-functional business requirements.
Identify, design, and implement process improvements such as automating manual pipelines, optimizing data ingestion and consumption, and redesigning infrastructure for greater scalability and microservices.
Create, maintain, and optimize SQL queries and routines.
Analyze potential data quality issues to determine root causes and implement effective solutions.
Develop, adopt, and enforce Data Warehouse and ETL standards and architecture.
Monitor and support ETL processes ensuring data integrity and seamless integration of all data sources.
Facilitate problem management and clear communication among data architects, managers, informaticists and analysts.
Perform source-to-target mapping validations.
Identify, document, and execute unit test cases and scripts; participate in peer reviews and document results.
Provide ongoing proactive technical support for ETL and the data warehouse to ensure business continuity.
Perform other duties as required to support Health Plan operations and department needs.

Requirements

Four years of relevant work experience.
Experience and knowledge in logical, rational, dimensional, and physical data modeling.
Background in database systems with strong SQL capabilities.
Experience with orchestration tools, Azure DevOps, and CI/CD.
Intermediate experience with the following tools and technologies:
- Azure Data Catalogue / Purview
- Azure Cloud
- Databricks
- Power BI Dataflows
- Power Query
- Azure Cosmos
- Azure Monitor
- PowerShell
- Python
Development experience using PySpark, Spark, Hadoop, Kubernetes, and RDMIS is highly desired.
Bachelor's degree from an accredited institution is required; Master's degree is preferred.
Azure Data Engineering Certification is preferred.

Technologies

SQL Server Integration Services (SSIS)
Azure Data Factory
Synapse Analytics
Azure Databricks
PySpark
SQL, T-SQL
Power BI Dataflows, Power Query
Azure Cosmos, Azure Monitor
PowerShell, Python
Databricks, Spark, Hadoop, Kubernetes
RDMIS, MS SQL Server
Azure Data Catalogue, Purview
Azure Cloud, Azure DevOps

Work Model and Location

This position follows a hybrid work model with remote work on Mondays and Fridays and on-site collaboration Tuesday through Thursday in Rancho Cucamonga, California.

Pay range: USD 104,041.60 - 137,841.60 per year.

View full job page →

19d ago

Data Engineer

Navy Federal Credit Union Vienna, VA

Vienna, VA

19d ago

$78k - $123k/yr Full time Analytics Azure Data Factory Azure Synapse Analytics

Apply Now

Job Description

At Navy Federal Credit Union, the Data Engineer helps shape Lending data infrastructure by designing, developing, and optimizing data pipelines and systems to ensure data quality and reliability. This onsite role in Vienna, VA collaborates with business partners to enable accurate analytics and informed decision making.

Responsibilities

Develop and maintain data pipelines and workflows to support business and data initiatives
Design and build scalable data pipelines for data collection, integration, and storage
Develop scripts, stored procedures, and jobs to automate data loads and processes
Implement data processing tasks and ensure data integrity and reliability
Optimize existing data workflows for performance and efficiency
Ensure data quality and performance at scale across data platforms
Maintain high availability, scalability, and reliability of data systems
Apply query optimization techniques including execution plan analysis, indexing, and partitioning
Collaborate with team members and business units on projects and data initiatives
Contribute to the development and enforcement of data engineering standards, policies, and best practices
Support data governance, metadata management, and data quality initiatives
Assist with database administration activities, including upgrades and migrations
Support reporting and analytics use cases, including Power BI development
Participate in Agile ceremonies and contribute to backlog refinement and delivery planning
Continuously improve processes and identify opportunities for automation and optimization

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field
5+ years of experience in data engineering or a related field
Strong experience with SQL, xml/JSON, SSIS, Azure (Synapse, Data Factory, Databricks) and PySpark
Strong Experience with data integration, data processing tools, and ETL frameworks
Experience developing scripts, stored procedures, and automation jobs
Experience with query optimization, execution plans, indexing, and partitioning
Understanding of data warehousing concepts and data system design
Working knowledge of data engineering principles, technologies, and architectures
Working knowledge of Azure DevOps (ADO) backlogs and Agile delivery (SAFe, Scrum, Kanban)
Working knowledge of SQL Server administration and database upgrades/migrations
Basic knowledge of Power BI reporting and data visualization
Strong problem-solving, communication, and collaboration skills

Technologies

SQL
xml/JSON
SSIS
Azure Synapse
Azure Data Factory
Azure Databricks
PySpark
Power BI
Azure DevOps
SQL Server

Hours

Monday - Friday, 8:00AM - 4:30PM

Locations

820 Follin Lane, Vienna, VA 22180
5550 Heritage Oaks Drive, Pensacola, FL 32526

About Navy Federal Credit Union

FORTUNE 100 Best Companies to Work For® 2026
Yello and WayUp Top 100 Internship Programs 2025
Computerworld® Best Places to Work in IT 2026
Most Loved Workplace – America’s Top Most Loved Workplaces® 2025
2025 PEOPLE® Companies That Care
Newsweek Most Trustworthy Companies in America 2026
Military Times 2025 Best for Vets Employers
Forbes® 2026 America's Best Large Employers
Forbes® 2025 America's Best Employers for New Grads
Forbes® 2025 America's Best Employers for Tech Workers
2025 RippleMatch Campus Forward Award Winner for Overall Excellence
Military.com Top Military Spouse Employers 2025
2026 Handshake Early Talent Award
Newsweek America’s Greatest Workplaces for Culture, Belonging and Community 2026

View full job page →

23d ago

Data Engineer

Navy Federal Credit Union Pensacola, FL

Pensacola, FL

23d ago

$78k - $123k/yr Full time Azure Data Factory Azure Databricks Azure Synapse Analytics

Apply Now

Job Description

Join a stable, on-site data engineering role in Pensacola, FL, where you will help design, build, and optimize data pipelines for Lending. You will collaborate with business partners and cross-functional teams to ensure data quality, reliability, and scalable performance. The organization is celebrated for workplace excellence and a culture that supports growth, inclusion, and long-term careers.

Fortune 100 Best Companies to Work For 2026
Yello and WayUp Top 100 Internship Programs 2025
Computerworld Best Places to Work in IT 2026
Most Loved Workplace, America’s Top Most Loved Workplaces 2025
2025 People Companies That Care
Newsweek Most Trustworthy Companies in America 2026
Military Times Best for Vets Employers 2025
Forbes America’s Best Large Employers 2026
Forbes America’s Best Employers for New Grads 2025
Forbes America’s Best Employers for Tech Workers 2025
RippleMatch Campus Forward Award for Overall Excellence 2025
Military.com Top Military Spouse Employers 2025
Handshake Early Talent Award 2026
Newsweek America’s Greatest Workplaces for Culture, Belonging and Community 2026

Responsibilities

Build and maintain end-to-end data pipelines and workflows that back business and data initiatives
Architect scalable pipelines to support data collection, integration, and storage
Develop automation through scripts, stored procedures, and scheduled jobs to streamline data loads
Deliver data processing tasks while safeguarding data integrity and reliability
Refine existing data workflows to improve performance and efficiency
Ensure data quality and performance at scale across multiple platforms
Maintain high availability, scalability, and reliability of data systems
Optimize queries using execution plan analysis, indexing, and partitioning
Collaborate with teammates and business units on projects and data initiatives
Help establish and enforce data engineering standards, policies, and best practices
Support data governance, metadata management, and data quality programs
Assist with database administration tasks, including upgrades and migrations
Support reporting and analytics use cases, including Power BI development support
Participate in Agile ceremonies and contribute to backlog refinement and delivery planning
Continuously identify process improvements and opportunities for automation

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field
5+ years of experience in data engineering or a related field
Strong experience with SQL, XML/JSON, SSIS, Azure (Synapse, Data Factory, Databricks) and PySpark
Solid background in data integration, data processing tools, and ETL frameworks
Experience developing scripts, stored procedures, and automation jobs
Proficiency in query optimization, execution plans, indexing, and partitioning
Understanding of data warehousing concepts and data system design
Working knowledge of data engineering principles, technologies, and architectures
Working knowledge of Azure DevOps backlogs and Agile delivery (SAFe, Scrum, Kanban)
Working knowledge of SQL Server administration and database upgrades/migrations
Basic familiarity with Power BI reporting and data visualization
Strong problem-solving, communication, and collaboration skills

Technologies

SQL
XML
JSON
SSIS
Azure Synapse
Azure Data Factory
Databricks
PySpark
Power BI
Azure DevOps
SQL Server

Hours

Monday through Friday, 8:00 AM to 4:30 PM

Locations

820 Follin Lane, Vienna, VA 22180
5550 Heritage Oaks Drive, Pensacola, FL 32526

Awards and recognition

Fortune 100 Best Companies to Work For 2026
Yello and WayUp Top 100 Internship Programs 2025
Computerworld Best Places to Work in IT 2026
Most Loved Workplace – America’s Top Most Loved Workplaces 2025
2025 PEOPLE Companies That Care
Newsweek Most Trustworthy Companies in America 2026
Military Times Best for Vets Employers 2025
Forbes America’s Best Large Employers 2026
Forbes America’s Best Employers for New Grads 2025
Forbes America’s Best Employers for Tech Workers 2025
RippleMatch Campus Forward Award Winner for Overall Excellence 2025
Military.com Top Military Spouse Employers 2025
Handshake Early Talent Award 2026
Newsweek America’s Greatest Workplaces for Culture, Belonging and Community 2026

View full job page →

1mo ago

Data Engineer

Amazon Data Services, Inc. Seattle, WA

Seattle, WA

1mo ago Closed

$101k - $160k/yr Full time AWS Aws Glue Big Data

This position is no longer accepting applications (closed Jul 17, 2026).

Job Description

This onsite Data Engineer role is based in Seattle, WA, on the AWS Infrastructure Services team within Amazon Data Services, Inc. It focuses on building and maintaining ETL pipelines, developing data architectures, and delivering analytics solutions for internal customers, in collaboration with BI engineers and software teams to standardize metrics and drive insights.

Responsibilities

Build and operate automated ETL pipelines with integrated monitoring, using Python, Spark, SQL and AWS services such as S3, Glue, Lambda, SNS, SQS, and KMS.
Design and support reporting and analytics infrastructure for internal stakeholders.
Create and manage data security and access controls for enterprise scale data warehouses and data lakes, including encryption, user permissions, and audit logging.
Create data assets for analytics using established data modeling techniques.
Design and optimize data warehouse and data lake tables, applying best practices for DDL, physical and logical structures, partitioning, compression, and parallelization.
Maintain metadata, data catalogs, and user documentation for data warehouses and data lakes to assist internal users.
Collaborate with internal stakeholders and software teams to gather and document requirements for data publishing and consumption across data warehouses, data lakes, and analytics solutions.

Requirements

1+ years of experience in data engineering
Experience with data modeling, data warehousing, and building ETL pipelines
Experience with at least one query language, such as SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, or Scala
Experience with at least one scripting language, such as Python or KornShell

Technologies

Python
Spark
SQL
S3
Glue
Lambda
SNS
SQS
KMS
Hadoop
Hive
EMR
Informatica
ODI
SSIS
BODI
Datastage

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription), Basic Life and AD&D insurance with option for supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave